B.C. considers coal mine proposal

Aurelia Boat Club delivers electric boat membership in Seattle, featuring zero-emission propulsion, quiet cruising, sustainable recreation, and a managed fleet with maintenance, insurance, moorage, and charging handled for members seeking hassle-free, eco-friendly boating.

Key Points

Aurelia Boat Club is a Seattle membership offering all-electric boats, with maintenance, insurance, and moorage included.

✅ Unlimited access to an all-electric fleet

✅ Maintenance, insurance, moorage, and charging included

✅ Quiet, zero-emission cruising on Seattle waters

Seattle's maritime scene has welcomed a new player: Aurelia Boat Club. Founded by former Pure Watercraft employees, Aurelia is poised to redefine electric boating in the city, where initiatives like Washington State Ferries hybrid-electric upgrade are underway. The club's inception follows the unexpected closure of Pure Watercraft, a Seattle-based startup that aimed to revolutionize the pleasure boating industry before its financial troubles led to its downfall.

From Pure Watercraft to Aurelia Boat Club

Pure Watercraft, established in 2011, garnered attention for its innovative electric propulsion systems designed to replace traditional gas-powered motors in boats, while efforts to build the first commercial electric speedboats also advanced. The company attracted significant investment, including a notable partnership with General Motors in 2021, which acquired a 25% stake in Pure Watercraft. Despite these efforts, Pure Watercraft faced financial difficulties and entered receivership in 2024, leading to the liquidation of its assets. 

Amidst this transition, Danylo Kurgan and Mrugesh Desai saw an opportunity to continue the vision of electric boating. Kurgan, formerly a financial analyst at Pure Watercraft and involved in the company's boat club operations, teamed up with Desai, a technology executive and startup investor. Together, they acquired key assets from Pure Watercraft's receivership, including electric outboard motors, pontoon boats, inflatable crafts, battery systems, spare parts, and digital infrastructure. 

Aurelia Boat Club's Offerings

Aurelia Boat Club aims to provide a sustainable and accessible alternative to traditional gas-powered boat clubs in Seattle. Members can enjoy unlimited access to a fleet of all-electric boats without the responsibilities of ownership. The club's boats are equipped with electric motors, offering a quiet and environmentally friendly boating experience, similar to how electric ships are clearing the air on the B.C. coast. Additionally, Aurelia handles maintenance, repairs, insurance, and moorage, allowing members to focus solely on enjoying their time on the water. 

The Future of Electric Boating in Seattle

Aurelia Boat Club's launch signifies a growing interest in sustainable boating practices in Seattle. The club's founders are committed to scaling the business and expanding their fleet to meet the increasing demand for eco-friendly recreational activities, as projects like battery-electric high-speed ferries indicate. By leveraging the assets and knowledge gained from Pure Watercraft, Aurelia aims to continue the legacy of innovation in the electric boating industry.

As the boating community becomes more environmentally conscious, initiatives like Aurelia Boat Club play a crucial role in promoting sustainable practices, and examples such as Harbour Air's electric aircraft highlight the momentum. The club's success could serve as a model for other cities, demonstrating that with the right vision and resources, the transition to electric boating is not only feasible but also desirable.

While the closure of Pure Watercraft marked the end of one chapter, it also paved the way for new ventures like Aurelia Boat Club to carry forward the mission of transforming the boating industry, with regional moves like the Kootenay Lake electric-ready ferry and international innovations such as Berlin electric flying ferry showing what's possible. With a strong foundation and a clear vision, Aurelia is set to make significant waves in Seattle's electric boating scene.

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Yukon SMR Feasibility Study examines small modular reactors as low-emissions nuclear power for Yukon's grid and remote communities, comparing costs, safety, waste, and reliability with diesel generation, renewables, and energy efficiency.

Key Points

An official assessment of small modular reactors as low-emission power options for Yukon's grid and remote sites.

✅ Compares SMR costs vs diesel, hydro, wind, and solar

✅ Evaluates safety, waste, fuel logistics, decommissioning

✅ Considers remote community loads and grid integration

The Yukon government is looking for ways to reduce the territory's emissions, and wondering if nuclear power is one way to go.

The territory is undertaking a feasibility study, and, as some developers note, combining multiple energy sources can make better projects, to determine whether there's a future for SMRs — small modular reactors — as a low-emissions alternative to things such as diesel power.

The idea, said John Streicker, Yukon's minister of energy, mines and resources, is to bring the SMRs into the Yukon to generate electricity.

"Even the micro ones, you could consider in our remote communities or wherever you've got a point load of energy demand," Streicker said. "Especially electricity demand."

For remote coastal communities elsewhere in Canada, tidal energy is being explored as a low-emissions option as well.

SMRs are nuclear reactors that use fission to produce energy, similar to existing large reactors, but with a smaller power capacity. The International Atomic Energy Agency (IAEA) defines reactors as "small" if their output is under 300 MW. A traditional nuclear power plant produces about three times as much power or more.

They're "modular" because they're designed to be factory-assembled, and then installed where needed. 

Several provinces have already signed an agreement supporting the development of SMRs, and in Alberta's energy mix that conversation spans both green and fossil power, and Canada's first grid-scale SMRs could be in place in Ontario by 2028 and Saskatchewan by 2032.

A year ago, the government of Yukon endorsed Canada's SMR action plan, at a time when analysts argue that zero-emission electricity by 2035 is practical and profitable, agreeing to "monitor the progress of SMR technologies throughout Canada with the goal of identifying potential for applicability in our northern jurisdiction."

The territory is now following through by hiring someone to look at whether SMRs could make sense as a cleaner-energy alternative in Yukon. 

The territorial government has set a goal of reducing emissions by 45 per cent by 2030, excluding mining emissions, even as some analyses argue that zero-emissions electricity by 2035 is possible, and "future emissions actions for post-2030 have not yet been identified," reads the government's request for proposals to do the SMR study. 

Streicker acknowledges the potential for nuclear power in Yukon is a bit of "long shot" — but says it's one that can't be ignored.

"We need to look at all possible solutions," he said, as countries such as New Zealand's electricity sector debate their future pathways.

"I don't want to give the sense like we're putting all of our emphasis and energy towards nuclear power. We're not."

According to Streicker, it's nothing more than a study at this point.

Don't bother, researcher says
Still, M.V. Ramana, a professor at the School of Public Policy and Global Affairs at the University of British Columbia, said it's a study that's likely a waste of time and money. He says there's been plenty of research already, and to him, SMRs are just not a realistic option for Yukon or anywhere in Canada.

"I would say that, you know, that study can be done in two weeks by a graduate student, essentially, all right? They just have to go look at the literature on SMRs and look at the critical literature on this," Ramana said.

Ramana co-authored a research paper last year, looking at the potential for SMRs in remote communities or mine sites. The conclusion was that SMRs will be too expensive and there won't be enough demand to justify investing in them.

He said nuclear reactors are expensive, which is why their construction has "dried up" in much of the world.

"They generate electricity at very high prices," he said.

'They just have to go look at the literature,' said M.V. Ramana, a professor at the School of Public Policy and Global Affairs at the University of British Columbia. (Paul Joseph)
"[For] smaller reactors, the overall costs go down. But the amount of electricity that they will generate goes down even further."

The environmental case is also shaky, according to a statement signed last year by dozens of Canadian environmental and community groups, including the Sierra Club, Greenpeace, the Council of Canadians and the Canadian Environmental Law Associaton (CELA). The statement calls SMRs a "dirty, dangerous distraction" from tackling climate change and criticized the federal government for investing in the technology.

"We have to remember that the majority of the rhetoric we hear is from nuclear advocates. And so they are promoting what I would call, and other legal scholars and academics have called, a nuclear fantasy," said Kerrie Blaise of CELA.

Blaise describes the nuclear industry as facing an unknown future, with some of North America's larger reactors set to be decommissioned in the coming years. SMRs are therefore touted as the future.

"They're looking for a solution. And so that I would say climate change presents that timely solution for them."

Blaise argues the same safety and environmental questions exist for SMRs as for any nuclear reactors — such as how to produce and transport fuel safely, what to do with waste, and how to decommission them — and those can't be glossed over in a single-minded pursuit of lower carbon emissions.  

Main focus is still renewables, minister says
Yukon's energy minister agrees, and he's eager to emphasize that the territory is not committed to anything right now beyond a study.

"Every government has a responsibility to do diligence around this," Streicker said.

A solar farm in Old Crow, Yukon. The territory's energy minister says Yukon is still primarily focussed on renewables, and energy efficiency. (Caleb Charlie)
He also dismisses the idea that studying nuclear power is any sort of distraction from his government's response to climate change right now. Yukon's main focus is still renewable energy such as solar and wind power, though Canada's solar progress is often criticized as lagging, increasing efficiency, and connecting Yukon's grid to the hydro project in Atlin, B.C., he said.

Streicker has been open to nuclear energy in the past. As a federal Green Party candidate in 2008, Streicker broke with the party line to suggest that nuclear could be a viable energy alternative. 

He acknowledges that nuclear power is always a hot-button issue, and Yukoners will have strong feelings about it. A lot will depend on how any future regulatory process works, he says.

In taking action on climate, this Arctic community wants to be a beacon to the world
Cameco signs agreement with nuclear reactor company
"There's some people that think it's the 'Hail Mary,' and some people that think it's evil incarnate," he said. 

"Buried deep within Our Clean Future [Yukon's climate change strategy], there's a line in there that says we should keep an eye on other technologies, for example, nuclear. That's what this [study] is — it's to keep an eye on it."

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Infrastructure Security Algorithm prioritizes cyber defense for power grids and critical infrastructure, mitigating ransomware, blackout risks, and cascading failures by guiding utilities, regulators, and cyber insurers on optimal security investment allocation.

Key Points

An algorithm that optimizes security spending to cut ransomware and blackout risks across critical infrastructure.

✅ Guides utilities on optimal security allocation

✅ Uses incentives to correct human risk biases

✅ Prioritizes assets to prevent cascading outages

Millions of people could suddenly lose electricity if a ransomware attack just slightly tweaked energy flow onto the U.S. power grid, as past US utility intrusions have shown.

No single power utility company has enough resources to protect the entire grid, but maybe all 3,000 of the grid's utilities could fill in the most crucial security gaps if there were a map showing where to prioritize their security investments.

Purdue University researchers have developed an algorithm to create that map. Using this tool, regulatory authorities or cyber insurance companies could establish a framework for protecting the U.S. power grid that guides the security investments of power utility companies to parts of the grid at greatest risk of causing a blackout if hacked.

Power grids are a type of critical infrastructure, which is any network - whether physical like water systems or virtual like health care record keeping - considered essential to a country's function and safety. The biggest ransomware attacks in history have happened in the past year, affecting most sectors of critical infrastructure in the U.S. such as grain distribution systems in the food and agriculture sector and the Colonial Pipeline, which carries fuel throughout the East Coast, prompting increased military preparation for grid hacks in the U.S.

With this trend in mind, Purdue researchers evaluated the algorithm in the context of various types of critical infrastructure in addition to the power sector, including electricity-sector IoT devices that interface with grid operations. The goal is that the algorithm would help secure any large and complex infrastructure system against cyberattacks.

"Multiple companies own different parts of infrastructure. When ransomware hits, it affects lots of different pieces of technology owned by different providers, so that's what makes ransomware a problem at the state, national and even global level," said Saurabh Bagchi, a professor in the Elmore Family School of Electrical and Computer Engineering and Center for Education and Research in Information Assurance and Security at Purdue. "When you are investing security money on large-scale infrastructures, bad investment decisions can mean your power grid goes out, or your telecommunications network goes out for a few days."

Protecting infrastructure from hacks by improving security investment decisions

The researchers tested the algorithm in simulations of previously reported hacks to four infrastructure systems: a smart grid, industrial control system, e-commerce platform and web-based telecommunications network. They found that use of this algorithm results in the most optimal allocation of security investments for reducing the impact of a cyberattack.

The team's findings appear in a paper presented at this year's IEEE Symposium on Security and Privacy, the premier conference in the area of computer security. The team comprises Purdue professors Shreyas Sundaram and Timothy Cason and former PhD students Mustafa Abdallah and Daniel Woods.

"No one has an infinite security budget. You must decide how much to invest in each of your assets so that you gain a bump in the security of the overall system," Bagchi said.

The power grid, for example, is so interconnected that the security decisions of one power utility company can greatly impact the operations of other electrical plants. If the computers controlling one area's generators don't have adequate security protection, as seen when Russian hackers accessed control rooms at U.S. utilities, then a hack to those computers would disrupt energy flow to another area's generators, forcing them to shut down.

Since not all of the grid's utilities have the same security budget, it can be hard to ensure that critical points of entry to the grid's controls get the most investment in security protection.

The algorithm that Purdue researchers developed would incentivize each security decision maker to allocate security investments in a way that limits the cumulative damage a ransomware attack could cause. An attack on a single generator, for instance, would have less impact than an attack on the controls for a network of generators, which sophisticated grid-disruption malware can target at scale, rather than for the protection of a single generator.

Building an algorithm that considers the effects of human behavior

Bagchi's research shows how to increase cybersecurity in ways that address the interconnected nature of critical infrastructure but don't require an overhaul of the entire infrastructure system to be implemented.

As director of Purdue's Center for Resilient Infrastructures, Systems, and Processes, Bagchi has worked with the U.S. Department of Defense, Northrop Grumman Corp., Intel Corp., Adobe Inc., Google LLC and IBM Corp. on adopting solutions from his research. Bagchi's work has revealed the advantages of establishing an automatic response to attacks, and analyses like Symantec's Dragonfly report highlight energy-sector risks, leading to key innovations against ransomware threats, such as more effective ways to make decisions about backing up data.

There's a compelling reason why incentivizing good security decisions would work, Bagchi said. He and his team designed the algorithm based on findings from the field of behavioral economics, which studies how people make decisions with money.

"Before our work, not much computer security research had been done on how behaviors and biases affect the best defense mechanisms in a system. That's partly because humans are terrible at evaluating risk and an algorithm doesn't have any human biases," Bagchi said. "But for any system of reasonable complexity, decisions about security investments are almost always made with humans in the loop. For our algorithm, we explicitly consider the fact that different participants in an infrastructure system have different biases."

To develop the algorithm, Bagchi's team started by playing a game. They ran a series of experiments analyzing how groups of students chose to protect fake assets with fake investments. As in past studies in behavioral economics, they found that most study participants guessed poorly which assets were the most valuable and should be protected from security attacks. Most study participants also tended to spread out their investments instead of allocating them to one asset even when they were told which asset is the most vulnerable to an attack.

Using these findings, the researchers designed an algorithm that could work two ways: Either security decision makers pay a tax or fine when they make decisions that are less than optimal for the overall security of the system, or security decision makers receive a payment for investing in the most optimal manner.

"Right now, fines are levied as a reactive measure if there is a security incident. Fines or taxes don't have any relationship to the security investments or data of the different operators in critical infrastructure," Bagchi said.

In the researchers' simulations of real-world infrastructure systems, the algorithm successfully minimized the likelihood of losing assets to an attack that would decrease the overall security of the infrastructure system.

Bagchi's research group is working to make the algorithm more scalable and able to adapt to an attacker who may make multiple attempts to hack into a system. The researchers' work on the algorithm is funded by the National Science Foundation, the Wabash Heartland Innovation Network and the Army Research Lab.

Cybersecurity is an area of focus through Purdue's Next Moves, a set of initiatives that works to address some of the greatest technology challenges facing the U.S. Purdue's cybersecurity experts offer insights and assistance to improve the protection of power plants, electrical grids and other critical infrastructure.

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Alberta Solar Energy Contracts secure low-cost photovoltaic PPAs for government operations, delivering renewable electricity at 4.8 cents/kWh, beating natural gas LCOE, enhancing summer grid efficiency across Hays, Tilley, and Jenner with Canadian Solar.

Key Points

Low-cost PV power agreements meeting 55% of Alberta government electricity demand via new Canadian Solar facilities.

✅ Price: 4.8 cents/kWh CAD, under gas-fired generation LCOE.

✅ Sites: Hays, Tilley, Jenner; 50% equity with Conklin Métis Local #193.

✅ Supplies 55% of provincial government electricity demand.

Three new solar electricity facilities to be built in south eastern Alberta (Canada) amid Alberta's solar growth have been selected through a competitive process to supply the Government of Alberta with 55 per cent of their annual electricity needs. The facilities will be built near Hays, Tilley, and Jenner, by Canadian Solar with Conklin Métis Local #193 as 50-percent equity owners.

The Government of Alberta's operations have been powered 100 per cent with wind power since 2007. Upon the expiration of some of these contracts, they have been renewed to switch from wind to solar energy. The average contract pricing will be $0.048 per kilowatt hour (3.6 cents/kWh USD), which is less than the average historical wholesale power pool price paid to natural gas-fired electricity in the province in years 2008 - 2018.

"The conversation about solar energy has long been fixated on its price competitiveness with fossil fuels," said John Gorman, CanSIA President & CEO. "Today's announcement demonstrates that low cost solar energy has arrived as a mainstream option in Alberta, even as demand for solar lags in Canada according to federal assessments. The conversation should next focus on how to optimize an all-of-the-above strategy for developing the province's renewable and non-renewable resources."

"This price discovery is monumental for the solar industry in Canada" said Patrick Bateman, CanSIA Director of Policy & Market Development. "At less than five cents per kilowatt hour, this solar electricity has a cost that is less than that of natural gas. Achieving Alberta's legislated 30 per cent by 2030 renewable electricity target just became a whole lot cheaper!".

Quick Facts:

• The contract price of 4.8 cents/kWh CAD to be paid by Alberta Infrastructure for this solar electricity represents a lower Levelized Cost of Electricity (LCOE) than the average annual wholesale price paid by the power pool to combined-cycle and single-cycle natural gas-fired electricity generation which was 7.1 cents/kWh and 11.2 cents/kWh respectively from 2008 - 2018.

• Alberta receives more hours of sunshine than Miami, Florida in the summer months. Alberta's electricity supply is most strained in summer, highlighting challenges for solar expansion when high temperatures increase the resistance of the distribution and transmission systems, and reduce the efficiency of cooling thermal power plants. For this reason, solar facilities sited near to electricity demand improves overall grid efficiency. Supply shortages are atypical in Alberta in winter when solar energy is least available. When they do occur, imports are increased and large loads are decreased.

• In 2018, Alberta's solar electricity generation exceeded 50 MW. While representing much less than 1% of the province's electricity supply today, the Canadian Solar Industries Association (CanSIA) forecasts that solar energy could supply as much as 3 per cent of the province's electricity by 2030, supporting renewable energy job growth across Alberta. A recent supply chain study of the solar electricity sector in Alberta by Solas Energy Consulting Inc. found a potential of $4.1 billion in market value and a labour force rising to 10,000 in 2030.

To learn more about solar energy and the best way for consumers to go solar, please visit the Canadian Solar Industries Association at www.CanSIA.ca.

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California Rooftop Solar Rate Reforms propose shifting net metering to fixed access fees, peak-demand charges, and time-of-use pricing, aligning grid costs, distributed generation incentives, and retail rates for efficient, least-cost electricity and fair cost recovery.

Key Points

Policies replacing net metering with fixed fees, demand charges, and time-of-use rates to align costs and incentives.

✅ Large fixed access charge funds grid infrastructure

✅ Peak-demand pricing reflects capacity costs at system peak

✅ Time-varying rates align marginal costs and emissions

The California Public Service Commission has proposed revamping electricity rates for residential customers who produce electricity through their rooftop solar panels. In a recent New York Times op‐​ed, former Governor Arnold Schwarzenegger argued the changes pose an existential threat to residential rooftop solar. Interest groups favoring rooftop solar portray the current pricing system, often called net metering, in populist terms: “Net metering is the one opportunity for the little guy to get relief, and they want to put the kibosh on it.” And conventional news coverage suggests that because rooftop solar is an obvious good development and nefarious interests, incumbent utilities and their unionized employees, support the reform, well‐​meaning people should oppose it. A more thoughtful analysis would inquire about the characteristics and prices of a system that supplies electricity at least cost.

Currently, under net metering customers are billed for their net electricity use plus a minimum fixed charge each month. When their consumption exceeds their home production, they are billed for their net use from the electricity distribution system (the grid) at retail rates. When their production exceeds their consumption and the excess is supplied to the grid, residential consumers also are reimbursed at retail rates. During a billing period, if a consumer’s production equaled their consumption their electric bill would only be the monthly fixed charge.

Net metering would be fine if all the fixed costs of the electric distribution and transmission systems were included in the fixed monthly charge, but they are not. Between 66 and 77 percent of the expenses of California private utilities do not change when a customer increases or decreases consumption, but those expenses are recovered largely through charges per kWh of use rather than a large monthly fixed charge. Said differently, for every kWh that a PG&E solar household exported into the grid in 2019, it saved more than 26 cents, on average, while the utility’s costs only declined by about 8 cents or less including an estimate of the pollution costs of the system’s fossil fuel generators. The 18‐​cent difference pays for costs that don’t change with variation in a household’s consumptions, like much of the transmission and distribution system, energy efficiency programs, subsidies for low‐​income customers, and other fixed costs. Rooftop solar is so popular in California because its installation under a net metering system avoids the 18 cents, creating a solar cost shift onto non-solar customers. Rooftop solar is not the answer to all our environmental needs. It is simply a form of arbitrage around paying for the grid’s fixed costs.

What should electricity tariffs look like? This article in Regulation argues that efficient charges for electricity would consist of three components: a large fixed charge for the distribution and transmission lines, meter reading, vegetation trimming, etc.; a peak‐​demand charge related to your demand when the system’s peak demand occurs to pay for fixed capacity costs associated with peak use; and a charge for electricity use that reflects the time‐ and location‐​varying cost of additional electricity supply.

Actual utility tariffs do not reflect this ideal because of political concerns about the effects of large fixed monthly charges on low‐​income customers and the optics of explaining to customers that they must pay 50 or 60 dollars a month for access even if their use is zero. Instead, the current pricing system “taxes” electricity use to pay for fixed costs. And solar net metering is simply a way to avoid the tax. The proposed California rate reforms would explicitly impose a fixed monthly charge on rooftop solar systems that are also connected to the grid, a change that could bring major changes to your electric bill statewide, and would thus end the fixed‐​cost avoidance. Any distributional concerns that arise because of the effect of much larger fixed charges on lower‐​income customers could be managed through explicit tax deductions that are proportional to income.

The current rooftop solar subsidies in California also should end because they have perverse incentive effects on fossil fuel generators, even as the state exports its energy policies to neighbors. Solar output has increased so much in California that when it ends with every sunset, natural gas generated electricity has to increase very rapidly. But the natural gas generators whose output can be increased rapidly have more pollution and higher marginal costs than those natural gas plants (so called combined cycle plants) whose output is steadier. The rapid increase in California solar capacity has had the perverse effect of changing the composition of natural gas generators toward more costly and polluting units.

The reforms would not end the role of solar power. They would just shift production from high‐​cost rooftop to lower‐​cost centralized solar production, a transition cited in analyses of why electricity prices are soaring in California, whose average costs are comparable with electricity production in natural gas generators. And they would end the excessive subsidies to solar that have negatively altered the composition of natural gas generators.

Getting prices right does not generate citizen interest as much as the misguided notion that rooftop solar will save the world, and recent efforts to overturn income-based utility charges show how politicized the debate remains. But getting prices right would allow the decentralized choices of consumers and investors to achieve their goals at least cost.

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Electricity Grid Flow Prediction leverages big data, machine learning, and weather analytics to forecast power flows across smart grids, enhancing reliability, reducing blackouts and curtailment, and optimizing renewable integration under EU Horizon 2020 innovation.

Key Points

Short-term forecasting of power flows using big data, weather inputs, and machine learning to stabilize smart grids.

✅ Uses big data, weather, and ML for 6-hour forecasts

✅ Improves reliability, cuts blackouts and energy waste

✅ Supports smart grids, renewables, and grid balancing

Three European prediction specialists have won prizes worth €2 million for developing the most accurate predictions of electricity flow through a grid

The three winners of the Big Data Technologies Horizon Prize received their awards at a ceremony on 12th November in Austria.

The first prize of €1.2 million went to Professor José Vilar from Spain, while Belgians Sofie Verrewaere and Yann-Aël Le Borgne came in joint second place and won €400,000 each.

The challenge was open to individuals groups and organisations from countries taking part in the EU’s research and innovation programme, Horizon 2020.

Carlos Moedas, Commissioner for Research, Science and Innovation, said: “Energy is one of the crucial sectors that are being transformed by the digital grid worldwide.

“This Prize is a good example of how we support a positive transformation through the EU’s research and innovation programme, Horizon 2020.

“For the future, we have designed our next programme, Horizon Europe, to put even more emphasis on the merger of the physical and digital worlds across sectors such as energy, transport and health.”

The challenge for the applicants was to create AI-driven software that could predict the likely flow of electricity through a grid taking into account a number of factors including the weather and the generation source (i.e. wind turbines, solar cells, etc).

Using a large quantity of data from electricity grids, EU smart meters, combined with additional data such as weather conditions, applicants had to develop software that could predict the flow of energy through the grid over a six-hour period.

Commissioner for Digital Economy and Society Mariya Gabriel said: “The wide range of possible applications of these winning submissions could bring tangible benefits to all European citizens, including efforts to tackle climate change with machine learning across sectors.”

The decision to focus on energy grids for this particular prize was driven by a clear market need, including expanding HVDC technology capabilities.

Today’s energy is produced at millions of interconnected and dispersed unpredictable sites such as wind turbines, solar cells, etc., so it is harder to ensure that electricity supply matches the demand at all times.

This complexity means that huge amounts of data are produced at the energy generation sites, in the grid and at the place where the energy is consumed.

Being able to make accurate, short-term predictions about power grid traffic is therefore vital to reduce the risks of blackouts or, by enabling utilities to use AI for energy savings, limit waste of energy.

Reliable predictions can also be used in fields such as biology and healthcare. The predictions can help to diagnose and cure diseases as well as to allocate resources where they are most needed.

Ultimately, the winning ideas are set to be picked up by the energy sector in the hopes of creating smarter electricity infrastructure, more economic and more reliable power grids.

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