Database & Systems Administrator

Dynamic Demand 2.0

About Us

Headquartered in London with global ambitions, Open Energi is an energy tech company applying artificial intelligence and data-driven insight to radically reduce the cost of delivering and consuming power.

Our advanced technology platform connects, aggregates and optimises distributed energy assets in real-time, maximising value for end users and providing invisible demand flexibility when and where it is most needed to create a more sustainable energy future.

We’re breaking new ground in demand-side management, working with leading businesses, suppliers, developers and world-renowned technology partners to deliver innovative solutions that put our customers in control of how, when and from where they consume electricity.

If you would enjoy the challenge of deploying a ground-breaking technology into an emerging market and want to work for an innovative company where you have complete belief in the product and service you represent, we might be just the place for you.

Database & Systems administrator – the role

The role of Database & Systems administrator involves working within Open Energi’s technical team to manage and ensure the integrity of our database and systems infrastructure.

  • Manage, develop and support databases, process and systems
  • Implement monitoring and automate routine maintenance tasks
  • Design and evolve database architecture to support application development
  • Help define best practice at Open Energi for cloud application deployment and management
  • Minimise the risk of database/system failures
  • Support the data science team in developing data movement or transformation processes

Knowledge & Skills

The successful candidate will be expected to manage both our legacy environment (SQL 2008R2, Windows Server 2008) and support our software team with development of our new system (Azure-based, with both Azure SQL DB/Warehouse and Linux VMs).

Must

  • Have experience with Microsoft SQL Server 2008+ administration
  • Have very good knowledge of T-SQL
  • Be familiar with at least one scripting language (eg. Python)
  • Have knowledge of Windows server administration
  • Have a proactive attitude and an inquisitive nature
  • Be willing to learn new technologies and languages

Desirable

  • Experience with data transformation and manipulation automation, possibly using a tool like SSIS
  • Basic familiarity with Linux server administration
  • Exposure to cloud computing, preferably Microsoft Azure
  • Familiarity with git version control
  • Familiarity with configuration management tools like Terraform or Ansible

To apply

Please send a covering letter and CV to recruitment@openenergi.com. Due to the quantity of applications we receive, we regret that we are unable to give specific feedback on unsuccessful applications.

Project Manager

solar panels

About Us

Headquartered in London with global ambitions, Open Energi is an energy tech company applying artificial intelligence and data-driven insight to radically reduce the cost of delivering and consuming power.

Our advanced technology platform connects, aggregates and optimises distributed energy assets in real-time, maximising value for end users and providing invisible demand flexibility when and where it is most needed to create a more sustainable energy future.

We’re breaking new ground in demand-side management, working with leading businesses, suppliers, developers and world-renowned technology partners to deliver innovative solutions that put our customers in control of how, when and from where they consume electricity.

If you would enjoy the challenge of deploying a ground-breaking technology into an emerging market and want to work for an innovative company where you have complete belief in the product and service you represent, we might be just the place for you.

Project Manager Role

The role of Project Manager involves working with colleagues across Open Energi’s various departments to provide project management structure and governance for both internal and external projects. Experience and track record of implementing successful multi-site and multi-project delivery, working both independently and in a team-oriented, collaborative environment is essential.

The successful candidate will be based at our London Head Office, with some travel throughout the UK. A desire to be part of our flexible, rapidly expanding and challenging organisation is highly sought, and excellent remuneration benefits will be provided for the right candidate. The position would suit an experienced project manager with Prince2 qualifications and knowledge/skills in ICA or instrumentation projects to help drive the company forward.

Project Manager – Core Functions

  • Direct and manage project development and implementation from concept to disposal
  • Define project scope, goals and deliverables that support corporate business goals in collaboration with senior management and stakeholders
  • Define project success criteria and manage delivery to meet these criteria
  • Manage day-to-day aspects of the projects and scope, including change control
  • Minimize OE’s exposure and risk on projects
  • Ensure project documents are complete, current, and stored appropriately
  • Estimate and plan availability of resources and participants necessary to achieve project goals and assign individual responsibilities, in agreement with the Open Energi Engineering Manager
  • Conduct project Wash-up Meetings and create a Lessons Learned/Recommendations report in order to identify successful and unsuccessful project elements
  • Provide input to tenders, contracts and tender-bid analysis as required

Project Manager – Other Duties

  • Take care of your own health and safety and that of others who may be affected by what you do (or do not do);
  • Carry out assigned tasks and duties in a safe manner, in accordance with instructions, and comply with safety rules/procedures, regulations and codes of practice
  • Co-operate with others on health and safety, and not interfere with or misuse anything provided for your health, safety or welfare
  • Follow the training you have received when using any work items your employer has given you
  • Report any accident, hazard, near-miss, dangerous occurrence or dangerous condition to your line manager and/or raise the appropriate Hazard/Near Miss Report
  • Plan, create and execute full-scale project plans and revise as appropriate to meet changing needs and requirements
  • Identify and manage project dependencies and critical path
  • Track project milestones and deliverables.
  • Ensure project documents are complete, current, and stored appropriately.
  • Facilitate team and client meetings effectively and hold regular status meetings with project team.
  • Effectively communicate relevant project information and exceptions to management team.
  • Provide fortnightly status reports to the programme manager.
  • Resolve and/or escalate issues in a timely fashion.
  • Identify opportunities for improvement and make constructive suggestions for change

Project Manager – Skills

  • Project Finance Management including the development, submission and maintenance of budget proposals, capex & opex cost models, cash flow and cost-to-completion projections
  • Production of Capital funding documentation
  • High awareness of construction/installation site safety management.

Project Manager – Knowledge & Soft Skills

  • Prince2 qualified or similar
  • Knowledge of ICA/electrical instrumentation projects
  • Possession of a good understanding in the areas such as control systems, software product development and multi-site rollouts
  • Excellent teamwork and communication skills
  • Effectively communicate project expectations to team members and stakeholders in a timely and clear fashion.
  • Keep track of lessons learned and share those lessons with team members.
  • Manage client expectations and day-to-day client interaction.
  • Develop lasting relationships with client personnel that foster client ties.
  • Continually seek opportunities to increase customer satisfaction and deepen client relationships.
  • Suggest areas for improvement in internal processes along with possible solutions.
  • Comply with and help to enforce governance, standard policies and procedures.
  • Minimum of 5 years’ demonstrable work experience in a middle/senior project management capacity, including all aspects of product development and project execution.
  • Working knowledge of MS Office suite and project management software, such as MS Project.

Desirable

  • Certifications in MSP, APM, qualified desirable but not essential

Remuneration and Benefits

  • Competitive salary with discretionary bonus
  • Car allowance
  • Pension
  • Based in Open Energi’s London office
  • Career development opportunities

Working hours

  • Hours of Work: 09.00 to 17.00, Monday to Friday, 37.5hrs/week

To apply

Please send a covering letter and CV to recruitment@openenergi.com. Due to the quantity of applications we receive, we regret that we are unable to give specific feedback on unsuccessful applications.

Clean Energy News: Q&A Open Energi discusses the future of demand response

Following the launch of the follow-up to its popular demand response product Dynamic Demand, Clean Energy News caught up with Open Energi technical director Michael Bironneau and commercial director David Hill to discuss the platform’s development, demand response’s role in the energy transition and how it will change in the future.

Q: How has Open Energi looked to develop Dynamic Demand 2.0, and what’s contributed to it?

Michael Bironneau (MB): Historically Open Energi has been involved in the control of thousands of distributed assets, and in order to do that we often had to do a lot of very manual work to model the asset or understand its control philosophy. Once we’d done that, we still had to understand how to predict its performance characteristics and forecast when it would be available to us. That’s why our data science team is one of the largest in the business.

Read the full article here.

Business Development Manager

Oxford Brookes campus

About Us

Headquartered in London with global ambitions, Open Energi is an energy tech company applying artificial intelligence and data-driven insight to radically reduce the cost of delivering and consuming power.

Our advanced technology platform connects, aggregates and optimises distributed energy assets in real-time, maximising value for end users and providing invisible demand flexibility when and where it is most needed to create a more sustainable energy future.

We’re breaking new ground in demand-side management, working with leading businesses, suppliers, developers and world-renowned technology partners to deliver innovative solutions that put our customers in control of how, when and from where they consume electricity.

If you would enjoy the challenge of deploying a ground-breaking technology into an emerging market and want to work for an innovative company where you have complete belief in the product and service you represent, we might be just the place for you.

The Role

We are looking for an experienced Business Development Manager to join our growing team. You will be reporting to our Commercial Director. The role will involve leading and managing sales campaigns to support the acquisition of corporate customers. The successful candidate must focus on the creation of best practice across all aspects of sales management to include:

  • Develop and execute sales and marketing campaigns to meet company targets
  • Define the sales cycle from a strategic and tactical perspective detailing the customer acquisition and implementation process
  • Facilitate “right first time” customer qualification to improve workflow / handover and ultimately shorten the sales cycle through lean and efficient processes
  • Achieve / exceed business targets, expressed in terms of number of won accounts including revenue and margin
  • Influence and shape the customer’s energy strategy via board level interactions developing strategic partnerships
  • Create business opportunity for Open Energi across all customer asset bases by understanding the corporate usage profiles and how best to utilise group assets to deliver mutual value
  • Be accountable for all sales performance measures including pipeline development, appointment ratios, conversion measures and management of the sales CRM system
  • Ability to develop bespoke sales propositions to meet complex customer requirements
  • Adopt a strategic selling approach, which considers technical and economic buying influences to be active at influencer, recommender and decision maker levels
  • Utilise the Open Energi sales qualification model and CRM system to maximise effective account wins
  • Develop an in depth understanding of the business drivers and requirements including technical, economic and environmental influencers in key vertical segments

Requirements

We’re looking for someone with:

  • At least 5 years’ work experience in a similar role
  • Proven experience and success in direct sales, generating new business in a business-to-business or Public Sector corporate market
  • Proven ability to develop and maintain an effective network of contacts and build relationships at all levels of the customer / prospect organisation
  • High level of literacy, written communication and analytical skills
  • High level of numeracy & commercial judgement
  • Self-starter with effective problem-solving abilities, especially for unstructured tasks
  • Interest or expertise in the energy market
  • Enthusiasm for new technologies and their potential impact
  • Commercial and financial knowledge
  • Excellent communication skills, capable of clearly articulating data to a wide audience

Qualifications

  • Bachelor’s degree in a relevant subject, achieving at least a 2:1
  • Post-graduate education (such as a Masters’) is desirable, but not essential

Remuneration and Benefits

  • Competitive salary with discretionary bonus
  • Based in Open Energi’s London office
  • Career development opportunities

To apply

Please send a covering letter and CV to recruitment@openenergi.com. Due to the quantity of applications we receive, we regret that we are unable to give specific feedback on unsuccessful applications.

Commercial Analyst

Dynamic Demand 2.0

About Us

Headquartered in London with global ambitions, Open Energi is an energy tech company applying artificial intelligence and data-driven insight to radically reduce the cost of delivering and consuming power.

Our advanced technology platform connects, aggregates and optimises distributed energy assets in real-time, maximising value for end users and providing invisible demand flexibility when and where it is most needed to create a more sustainable energy future.

We’re breaking new ground in demand-side management, working with leading businesses, suppliers, developers and world-renowned technology partners to deliver innovative solutions that put our customers in control of how, when and from where they consume electricity.

If you would enjoy the challenge of deploying a ground-breaking technology into an emerging market and want to work for an innovative company where you have complete belief in the product and service you represent, we might be just the place for you.

The Role

We are looking for a Commercial Analyst to join our growing team. You’ll be reporting to our Commercial Manager and working closely alongside our Data Science and Technology teams to help inform business strategy and ensure our market leading solutions stay ahead of the curve. It’s a start-up environment, so you will be working on multiple tasks and must be comfortable working across teams and projects.

The role will include:

  • Commercial analysis and support
    • Working with data scientists on performance reporting
    • Internal reporting for investors and Finance team
    • Using models and other quantitative methods to support the Commercial team as required
    • Risk and scenario analysis
    • Market research and analysis of UK & international demand response markets
    • Researching new services and assessing their commercial value
    • Business case development and commercial agreements
  • Policy, sales & marketing support
    • Techno-economic modelling
    • Researching emerging technologies relevant to the business (e.g. energy storage)
    • Policy analysis and briefing of business on key industry and regulatory issues

Requirements

We’re looking for someone with:

  • At least 2 years’ work experience in a similar role
  • Strong quantitative background
  • High level of literacy, written communication and analytical skills
  • High level of numeracy & commercial judgement
  • Strong Excel modelling skills
  • Self-starter with effective problem-solving abilities, especially for unstructured tasks
  • A critical thinker with intellectual curiosity and thoughtful opinions
  • Interest or expertise in the energy market
  • Enthusiasm for new technologies and their potential impact
  • Commercial and financial knowledge
  • Excellent communication skills, capable of clearly articulating data to a wide audience

Qualifications

  • Bachelor’s degree in a relevant subject, achieving at least a 2:1
  • Post-graduate education (such as a Masters’) is desirable, but not essential

 Remuneration and Benefits

  • Competitive salary with discretionary bonus
  • Based in Open Energi’s London office
  • Career development opportunities

 To apply

Please send a covering letter and CV to recruitment@openenergi.com. Due to the quantity of applications we receive, we regret that we are unable to give specific feedback on unsuccessful applications.

How Artificial Intelligence is shaping the future of energy

Artificial Intelligence can unlock demand side flexibility for end users

Across the globe, energy systems are changing, creating unprecedented challenges for the organisations tasked with ensuring the lights stay on. In the UK, large fossil fuelled power stations are being replaced by increasing levels of widely distributed wind and solar generation. This renewable power is clean and free at the point of use but it cannot always be relied upon. To date National Grid has managed this intermittency by keeping polluting power stations online to make up the difference but Artificial Intelligence offers an alternative approach.

What’s needed is a smart grid which can integrate renewable energy efficiently at scale without having to keep polluting power stations online to manage intermittency. This requires energy storage to act as a buffer, reducing demand when supply is too low or increasing it when it is too high. Most people associate energy storage with batteries, but the cheapest and cleanest type of energy storage comes from flexibility in our demand for energy.

This demand-side flexibility takes advantage of thermal or pumped energy stored in everyday equipment and processes, from an office air-con unit, supermarket fridge or industrial furnace through to water pumped and stored in a local reservoir. The electricity consumption patterns of these types of devices are not necessarily time-critical. Provided they operate within certain parameters – such as room temperature or water levels – they can be flexible about when they use energy.

This means that when electricity demand outstrips supply, instead of ramping up a fossil fuelled power station, certain types of equipment can defer their electricity use temporarily. And if the wind blows and too much electricity is being supplied instead of paying wind farms to turn off we can ask equipment to use more now instead of later.

Making our demand for electricity “intelligent” in this way means we can provide vital capacity when and where it is most needed and pave the way for a cleaner, more affordable, and more secure energy system. The key lies in unlocking and using demand-side flexibility so that consumers are a) not impacted and b) appropriately rewarded.

At Open Energi, we’ve been exploring how artificial intelligence and machine learning techniques can be leveraged to orchestrate massive amounts of demand-side flexibility – from industrial equipment, co-generation and battery storage systems – towards the one goal of creating a smarter grid.

We have spent the last 6 years working with some of the UK’s leading companies to manage their flexible demand in real-time and help balance electricity supply and demand UK-wide.  In this time, we have connected to over 3,500 assets at over 350 sites, operating invisibly deep with business processes, to enable equipment to switch on and off in response to fluctuations in supply and demand.

Already, we are well on the way to realising a smarter grid, but to unlock the full potential of demand-side flexibility, we need to adopt a portfolio level approach. Artifical intelligence and machine learning techniques are making this possible, enabling us to look across multiple assets on a customer site, and given all the operational parameters in place, make intelligent, real-time decisions to maximise their total flexibility and deliver the greatest value at any given moment in time.

For example, a supermarket may have solar panels on its roof and a battery installed on site, as well as flexibility inherent in its air-con and refrigeration systems. Using artificial intelligence and machine learning means we can find creative ways to reschedule the power consumption of many assets in synchrony, helping National Grid to balance the system while minimising the cost of consuming that power for energy users.

Lack of data is often an obstacle to progress but we collect between 10,000 and 25,000 messages per second relating to 30 different data points and perform tens of millions of switches per year. This data is forming the basis of a model which can look at a sequence of actions leading to the rescheduling of power consumption and make grid-scale predictions saying “this is what it would cost to take these actions”. The bleeding edge in deep reinforcement learning shows how, even with very large scale problems like this one, there are optimisation techniques we can use to minimise this cost beyond what traditional models would offer.

Artificial Intelligence model learning to control the electricity consumption of a portfolio of assets

Graph of AI model

More rapid progress could be made across the industry if energy companies made more anonymised half-hourly power data available. It would enable companies working on smart grid technologies to validate these ideas quickly and cheaply. In the same vein, it would be a major breakthrough for balancing electricity supply and demand if energy companies made available APIs for reporting and accessing flexibility; it would allow companies like Open Energi to unlock enormous amounts of demand-side flexibility and put it to good use balancing not just the grid but also helping to optimise the market positions of those same energy companies.

In the UK alone, we estimate there is 6 gigawatts of demand-side flexibility which can be shifted during the evening peak without affecting end users. Put into context, this is equivalent to roughly 10% of peak winter demand and larger than the expected output of the planned Hinkley Point C – the UK’s first new nuclear power station in generations.  Artificial Intelligence can help us to unlock this demand-side flexibility and build an electricity system fit for the future; one which cuts consumer bills, integrates renewable energy efficiently, and secures our energy supplies for generations to come.

Michael Bironneau is Technical Director at Open Energi. He graduated from Loughborough University in 2014 with a PhD in Mathematics and has been writing software since the age of 10.

Can a sharing economy approach to energy deliver a more sustainable future?

Sunshine through tree tops - green energy

As global demand for electricity grows, are there alternatives to building more power stations which make smarter use of existing infrastructure? And in an industry renowned for high levels of consumer mistrust, could an Airbnb of energy finally deliver a consumer-centric energy market?

Technology is shaping our lives like never before, making our world smarter, more efficient and more connected. In the last decade, it has fuelled an explosion of sharing economy business models — adopted by the likes of Uber, Airbnb and Zipcar — who in just a few short years have revolutionised established industries. But can a sharing economy approach help to tackle one of man-kind’s greatest challenges and deliver clean, affordable and secure energy to all?

Sharing economies are a consumer-led phenomenon which work by exploiting excess capacity or inefficiencies in existing systems for mutual benefit. Take Airbnb for example. The wasted asset is your property and the excess capacity is the space you are not using. By creating a user-friendly platform and giving homeowners the security they need Airbnb have built the biggest hotel chain in the world, surpassing the Intercontinental Group in less than four years. They have achieved this because they haven’t needed to construct a single thing.

So how could this apply to the energy industry? As global demand for electricity grows, are there alternatives to building more power stations which make smarter use of existing infrastructure? And in an industry renowned for high levels of consumer mistrust, could an Airbnb of energy finally deliver a consumer-centric energy market?

Since the world’s first power station was built in 1882 the global energy system has worked on the basis that supply must follow demand. Consumers — businesses and households — have been passive users of power, paying to use what they want when they want, whilst electricity supply has adapted to ensure the lights stay on. This has created inefficient systems built for periods of peak demand — in the UK this is typically between 4–7pm on a cold winter evening — which most of the time are massively underused.

But this is no longer the case. Today, our ability to connect and control anything from anywhere means we can manage our demand for electricity in previously unimaginable ways, and consumers are emerging as a driving force for change.

By connecting everyday equipment to a smart platform (just as you might upload your property to Airbnb), it’s now possible for consumers to take advantage of small amounts of “flexible demand” in their existing assets and processes — be it a fridge, a water pump, or an office air con unit — and sell it to organisations tasked with keeping the lights on — like National Grid.

Applying artificial intelligence and machine learning to govern when and for how long assets may respond gives consumers confidence their equipment’s performance will not be affected, and in return for sharing their “flexible demand”, they benefit from cost savings or direct payments.

This sharing economy approach relies on the power of tech and our ability to orchestrate many thousands of consumer devices at scale. Any one piece of equipment can only make small changes to the timing of its electricity consumption — e.g. delaying when a fridge motor comes on for a few minutes during a spike in electricity demand at the end of a football match — but collectively, the impact is transformational.

It means that when electricity demand is greater than supply, we don’t need to fire up fossil-fuelled power stations. Instead, we can reduce demand by asking non-time critical assets to power down for a short while.

If the wind is blowing and too much electricity is being supplied, we don’t need to let this clean, abundant power go to waste, but can ask equipment to shift its demand and make use of this power as it is available.

And we don’t need to keep building more power stations to meet occasional peaks in demand. Instead, we can distribute demand more intelligently throughout the day, reducing the size of these peaks and making better use of existing capacity.

In the UK, Open Energi’s analysis suggests there is 6 gigawatts of peak demand which can be shifted for up to an hour without impacting end users. Put into context, this is equivalent to roughly 10% of peak winter demand and larger than the expected output of the planned Hinkley Point C — the UK’s first new nuclear power station in generations.

This doesn’t make it easy. Unlike other sharing economy success stories, energy is a public good. The need for incredibly robust solutions means the barriers to entry are high. But, if we can get it right, the prize is enormous; a cleaner, cheaper, more secure energy system which gives consumers control of how, when, and from where they consume their energy.

Businesses have already recognised the power they hold and the benefits it can bring, with the likes of Sainsbury’s, Tarmac, United Utilities and Aggregate Industries adopting the tech and demonstrating what’s possible. Households look set to follow, but wherever the flexibility comes from, it’s clear that consumers and the environment will benefit from a sharing economy approach to energy.

David Hill is strategy director of Open Energi. He is an expert on electricity markets and demand-side flexibility, including demand-side response and energy storage. He joined Open Energi in 2010 after completing an MSc Energy, Trade & Finance at Cass Business School.

How can machine learning create a smarter grid?

Dynamic Demand 2.0

Across the globe, energy systems are changing and creating unprecedented challenges for the organisations tasked with ensuring the lights stay on. In the UK, National Grid is facing shrinking margins, looming capacity shortages and unpredictable peaks and troughs in energy supply caused by increasing levels of renewable penetration.

At the recent Reinventing Energy Summit, Michael Bironneau, Head of Technology Development at Open Energi, explored how the same machine learning techniques that have let machines defeat chess and Go masters, can also be leveraged to orchestrate massive amounts of flexible demand-side capacity – from industrial equipment, co-generation and battery storage systems – towards the one goal of creating a smarter grid; one that is cleaner, cheaper, more secure and more efficient.

For World Cities Day 2016, Michael talked to Nikita Johnson of Re:work about utilising data science in energy, creating a smarter grid, political challenges, and more.
What are the main transformative technologies that will help create a smarter grid?
A smarter grid is one where we can integrate renewable energy efficiently without having to keep polluting power stations online to manage intermittency. This requires energy storage to act as a buffer, reducing demand when supply is too low or increasing it when it is too high.

The cheapest and cleanest type of energy storage comes from flexibility in our demand for energy. Open Energi’s Dynamic Demand platform unlocks small amounts of stored energy from commercial and industrial processes – such as refrigerators, bitumen tanks and water pumps – and aggregates and optimises it second by second, creating a virtual battery.

How can machine learning be applied to help balance the grid?
The most transformative application of machine learning for grid balancing comes from unlocking and utilising flexibility in demand-side power consumption. Such algorithms can find creative ways to reschedule the power consumption of many demand and generation assets in synchrony to keep the grid in balance while helping to minimise the cost of consuming that power for energy users.

With sufficient data, a ML model can look at a sequence of actions leading to the rescheduling of power consumption and make grid-scale predictions saying “this is what it would cost to take these actions”. The bleeding edge in deep reinforcement learning shows how, even with very large scale problems like this one, there are optimisation techniques we can use to minimise this cost beyond what traditional models would offer.

What are the regulatory and political challenges to achieving a national smart grid in the UK?
Whatever your role in the vibrant menu of demand side innovations that are offered across Europe, a shared goal for serving consumers is advocating for the framework of flexibility adequacy at the energy system level. This opens so many possibilities – to facilitate Electric Vehicles, mitigate renewable intermittency, replace aging coal infrastructure, and realise a smart grid.

The key is market access. Currently, the UK market favours existing power generators to a disproportionate extent. To fully realise the potential of demand-side flexibility to help balance the grid, save energy and offer lower costs for consumers, we need a level playing field. Without it, there is a very real risk that we will lead ourselves into multi-decade contracts for power plants, paying for a system which is already over capacity and which has no incentive to get any smarter.

How can energy companies work with engineers and data scientists to achieve a more efficient energy system?
One obstacle that prevents many ideas from taking off is the lack of data to support them. If energy companies made more anonymised half-hourly power data available, data scientists and engineers working on new smart grid technologies would be able to validate these ideas quickly and cheaply. In the same vein, it would be a major breakthrough for grid balancing if energy companies made available APIs for reporting and accessing flexibility; it would allow companies like us to unlock enormous amounts of demand-side capacity and put them to good use balancing not just the grid but also helping to optimise the market positions of those same energy companies.

This post originally appeared on Re:work’s blog on the 31st October 2016.