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Alberta Electricity Market Reform reshapes policy under the UCP, weighing a capacity market versus energy-only design, AESO reliability rules, renewables targets, coal phase-out, carbon pricing, consumer rates, and investment certainty before AUC decisions.

Key Points

Alberta Electricity Market Reform is the UCP plan to reassess capacity vs energy-only, renewables, and carbon pricing.

✅ Reviews capacity market timeline and AESO procurement

✅ Alters subsidies for renewables; slows wind and solar growth

✅ Adjusts industrial carbon levy; audits Balancing Pool losses

Hearings kicked off this week into the future of the province’s electricity market design, amid an electricity market reshuffle pledged by the province, but a high-stakes decision about the industry’s fate — affecting billions of dollars in investment and consumer costs — won’t be made inside the meeting room of the Alberta Utilities Commission.

Instead, it will take place in the office of Jason Kenney, as the incoming premier prepares to pivot away from the seismic reforms to Alberta’s electricity sector introduced by the Notley government.

The United Conservative Party has promised to adopt market-based policies, reflecting changes to how Alberta produces and pays for power, that will reset how the sector operates, from its approach to renewable energy and carbon pricing to re-evaluating the planned transition to an electricity “capacity market.”

“Every ball in electricity is up in the air right now,” Vittoria Bellissimo, of the Industrial Power Consumers Association of Alberta, said Tuesday during a break in the commission hearings.

Industry players are uncertain how quickly the UCP will change direction on power policies, but there’s little doubt Kenney’s government will take a strikingly different approach to the sector that keeps the lights on in Alberta.

“There’s some things they are going to change that are going to impact the electricity industry significantly,” said Duane Reid-Carlson, chief executive of consultancy EDC Associates.

“But I don’t think it’s going to be upheaval. I think the new government will proceed with caution because electricity is the foundation of our economy.”

Alberta’s electricity market has been turned on its head in recent years due to the recession, power prices dropping to near two-decade lows and several transformative policies initiated by the NDP.

The Notley government’s climate plan included an accelerated phase-out of all coal-fired generation and set targets for more renewable energy.

The most significant, but least-understood, move has been the planned shift to an electricity capacity market in 2021.

Under the strategy, generators will no longer solely be paid for the power produced and sold into the market; they will also receive payments for having electricity capacity available to the grid on demand.

The change was recommended by the Alberta Electric System Operator (AESO) as a way to reduce price volatility and provide more reliability than the current energy-only market, which some argue needs more competition to deliver better outcomes.

The independent system operator and industry officials have spent more than two years planning the transition since the switch was announced in late 2016. Proposed rules for the new system, outlining market changes, are now being discussed at the Alberta Utilities Commission hearings.

However, there is no ironclad guarantee the system remake will go ahead following the UCP’s election victory last week — amid calls to scrap the overhaul from a Calgary retailer — it plans to study the issue further — while other substantive electricity changes are already in store.

The UCP has promised to end “costly subsidies” to renewable energy developments and abandon the NDP’s pledge to have such energy sources make up 30 per cent of all power generation by 2030.

It will remove the planned phase-out of coal-fired electricity generation, although federal regulations for a 2030 prohibition remain in place.

It will also ask the auditor general to conduct a special audit of the massive losses sustained by the province’s Balancing Pool due to power purchase arrangements being handed back to the agency three years ago.

While Kenney has pledged to cancel the provincewide carbon tax, a levy on large industrial greenhouse gas emitters (such has power plants) will still be charged, although at a reduced rate of $20 a tonne.

The biggest unknown remains the power market’s structure, which underpins how the entire system operates.

The UCP has promised to consult on the shift to the capacity market and report back to Albertans within 90 days.

The complex issue may sound like an eye-glazer, but it will have a profound effect on industry investment, as well as how much consumers pay on their monthly electricity bills.

A number of industry players worry the capacity market will lead AESO to procure more power than is necessary, foisting unnecessary costs onto all Albertans.

“I still have concerns for what the impact on consumers is going to be,” said energy market consultant Sheldon Fulton. “I’d love to see the capacity market go away.”

An analysis by EDC Associates found the transition to a capacity market will procure additional electricity before it’s needed, requiring consumers to pay up to 40 per cent more — an extra $1.4 billion — for power in 2021-22 than under the existing market structure.

“I don’t think there’s any prejudged outcome,” said Blake Shaffer, former head trader at TransAlta Corp. and a fellow-in-residence at the C.D. Howe Institute.

“But it really matters about getting this right.”

Evan Bahry, executive director of the Independent Power Producers Society of Alberta, said the fact the UCP’s review was confined to just 90 days is helpful, as it avoids throwing the entire industry into a prolonged period of uncertainty.

As for the greening of Alberta’s power grid, amid growing attention to clean grids and storage, the demise of the NDP’s Renewable Electricity Program will likely slow down the rapid pace of wind and solar development. But it’s unlikely to stop the growth trend as costs continue to fall for such developments.

“Renewables over the last number of years have evolved to the point that they make sense on a subsidy-free basis,” said Dan Balaban, CEO of Greengate Power Corp., which has developed 480 MW of wind power in Alberta and Ontario.

“There is a path to clean electricity ahead.”

Chris Varcoe is a Calgary Herald columnist.

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Ukraine Nuclear Plant Ownership Proposal outlines U.S. management of Ukrainian reactors amid the Russia-Ukraine war, citing nuclear safety, energy security, and IAEA oversight; Kyiv rejects ownership transfer, especially regarding Zaporizhzhia under Russian control.

Key Points

U.S. control of Ukraine's nuclear plants for safety; Kyiv rejects transfer, citing sovereignty risks at Zaporizhzhia.

✅ U.S. proposal to manage Ukraine's reactors amid war

✅ Kyiv refuses ownership transfer; open to investment

✅ Zaporizhzhia under Russian control raises safety risks

In the midst of the ongoing conflict between Russia and Ukraine, U.S. President Donald Trump has proposed a controversial idea: Ukraine should give its nuclear power plants to the United States for safekeeping and management. This suggestion came during a phone call with Ukrainian President Volodymyr Zelenskyy, wherein Trump expressed the belief that American ownership of these nuclear plants could offer them the best protection amid the ongoing war. But Kyiv, while open to foreign support, has firmly rejected the idea of transferring ownership, especially as the Zaporizhzhia nuclear plant remains under Russian occupation.

Ukraine’s nuclear energy infrastructure has always been a vital component of its power generation. Before the war, the country’s four nuclear plants supplied nearly half of its electricity. As Russia's military forces target Ukraine's energy infrastructure, including power plants and coal mines, international watchdogs like the IAEA have warned of nuclear risks as these nuclear facilities have become crucial to maintaining the nation’s energy stability. The Zaporizhzhia plant, in particular, has attracted international concern due to its size and the ongoing threat of a potential nuclear disaster.

Trump’s Proposal and Ukraine’s Response

Trump’s proposal of U.S. ownership came as a response to the ongoing threats posed by Russia’s occupation of the Zaporizhzhia plant. Trump argued that the U.S., with its expertise in running nuclear power plants, could safeguard these facilities from further damage and potential nuclear accidents. However, Zelenskyy quickly clarified that the discussion was only focused on the Zaporizhzhia plant, which is currently under Russian control. The Ukrainian president emphasized that Kyiv would not entertain the idea of permanently transferring ownership of its nuclear plants, even though they would welcome investment in their restoration and modernization, particularly after the war.

The Zaporizhzhia nuclear plant has been a focal point of geopolitical tensions since Russia's occupation in 2022. Despite being in "cold shutdown" to prevent further risk of explosions, the facility remains a major concern due to its potential to cause a nuclear disaster. Ukrainian officials, along with international observers, have raised alarm about the safety risks posed by the plant, including mines at Zaporizhzhia reported by UN watchdogs, which is situated in a war zone and under the control of Russian forces who are reportedly neglecting proper safety protocols.

The Fear of a Nuclear Provocation

Ukrainians have expressed concerns that Trump’s proposal could embolden Russia to escalate tensions further, even as a potential agreement on power-plant attacks has been discussed by some parties. Some fear that any attempt to reclaim the plant by Ukraine could trigger a Russian provocation, including a deliberate attack on the plant, which would have catastrophic consequences for both Ukraine and the broader region. The analogy is drawn with the destruction of the Nova Kakhovka dam, which Ukraine accuses Russia of sabotaging, an act that severely disrupted water supplies to the Zaporizhzhia plant. Ukrainian military officials, including Ihor Romanenko, a former deputy head of Ukraine’s armed forces, warned that Trump’s suggestion might be an exploitation of Ukraine’s vulnerable position in the ongoing war.

Despite these fears, there are some voices within Ukraine, including former employees of the Zaporizhzhia plant, who believe that a deliberate attack by Russian forces is unlikely. They argue that the Russian military needs the plant in functioning condition for future negotiations, with Russia building new power lines to reactivate the site as part of that calculus, and any damage could reduce its value in such exchanges. However, the possibility of Russian negligence or mismanagement remains a significant risk.

The Strategic Role of Ukraine's Nuclear Plants

Ukraine's nuclear plants were a cornerstone of the country’s energy sector long before the conflict began. In recent years, as Ukraine lost access to coal resources in the Donbas region due to Russian occupation, nuclear power became even more vital, alongside a growing focus on wind power to improve resilience. The country’s reliance on these plants grew as Russia launched a sustained campaign to destroy Ukraine’s energy infrastructure, including attacks on nuclear power stations.

The Zaporizhzhia plant, in particular, holds strategic importance not only due to its size but also because of its location in southeastern Ukraine, an area that has been at the heart of the conflict. Despite being in Russian hands, the plant’s reactors have been safely shut down, reducing the immediate risk of a nuclear explosion. However, the plant’s future remains uncertain, as Russia’s long-term control over it could disrupt Ukraine’s energy security for years to come.

Wider Concerns About Aging Nuclear Infrastructure

Beyond the geopolitical tensions, there are broader concerns about the aging infrastructure of Ukraine's nuclear power plants. International watchdogs, including the environmentalist group Bankwatch, have criticized these facilities as “zombie reactors” due to their outdated designs and safety risks. Experts have called for Ukraine to decommission some of these reactors, fearing that they are increasingly unsafe, especially in the context of a war.

However, Ukrainian officials, including Petro Kotin, head of Energoatom (Ukraine's state-owned nuclear energy company), argue that these reactors are still functional and critical to Ukraine's energy needs. The ongoing conflict, however, complicates efforts to modernize and secure these facilities, which are increasingly vulnerable to both physical damage and potential nuclear hazards.

The Global Implications

Trump's suggestion to take control of Ukraine's nuclear power plants has raised significant concerns on the international stage. Some fear that such a move could set a dangerous precedent for nuclear security and sovereignty. Others see it as an opportunistic proposal that exploits Ukraine's wartime vulnerability.

While the future of Ukraine's nuclear plants remains uncertain, one thing is clear: these facilities are now at the center of a geopolitical struggle that could have far-reaching consequences for the energy security of Europe and the world. The safety of these plants and their role in Ukraine's energy future will remain a critical issue as the war continues and as Ukraine navigates its relations with both the U.S. and Russia, with the grid even having resumed electricity exports at times.

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Covid-19 Energy Transition and Machine Learning reshape climate change policy, electricity planning, and grid operations, from demand forecasting and decarbonization strategies in Europe to scalable electrification modeling and renewable integration across Africa.

Key Points

How the pandemic reshapes energy policy and how ML improves planning, demand forecasts, and grid reliability in Africa.

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

✅ ML boosts demand prediction, electrification, and grid reliability in Africa

The impact of Covid-19 on the energy system was discussed in an online climate change workshop that also considered how machine learning can help electricity planning in Africa.

This year’s International Conference on Learning Representations event included a workshop held by the Climate Change AI group of academics and artificial intelligence industry representatives, which considered how machine learning can help tackle climate change and highlighted advances by European electricity prediction specialists working in this field.

Bjarne Steffen, senior researcher at the energy politics group at ETH Zürich, shared his insights at the workshop on how Covid-19 and the accompanying economic crisis are affecting recently introduced ‘green’ policies. “The crisis hit at a time when energy policies were experiencing increasing momentum towards climate action, especially in Europe, and in proposals to invest in smarter electricity infrastructure for long-term resilience,” said Steffen, who added the coronavirus pandemic has cast into doubt the implementation of such progressive policies.

The academic said there was a risk of overreacting to the public health crisis, as far as progress towards climate change goals was concerned.

Lobbying

“Many interest groups from carbon-intensive industries are pushing to remove the emissions trading system and other green policies,” said Steffen. “In cases where those policies are having a serious impact on carbon-emitting industries, governments should offer temporary waivers during this temporary crisis, instead of overhauling the regulatory structure.”

However, the ETH Zürich researcher said any temptation to impose environmental conditions to bail-outs for carbon-intensive industries should be resisted. “While it is tempting to push a green agenda in the relief packages, tying short-term environmental conditions to bail-outs is impractical, given the uncertainty in how long this crisis will last,” he said. “It is better to include provisions that will give more control over future decisions to decarbonize industries, such as the government taking equity shares in companies.”

Steffen shared with pv magazine readers an article published in Joule which can be accessed here, and which articulates his arguments about how Covid-19 could affect the energy transition.

Covid-19 in the U.K.

The electricity system in the U.K. is also being affected by Covid-19, even as the U.S. electric grid grapples with climate risks, according to Jack Kelly, founder of London-based, not-for-profit, greenhouse gas emission reduction research laboratory Open Climate Fix.

“The crisis has reduced overall electricity use in the U.K.,” said Kelly. “Residential use has increased but this has not offset reductions in commercial and industrial loads.”

Steve Wallace, a power system manager at British electricity system operator National Grid ESO recently told U.K. broadcaster the BBC electricity demand has fallen 15-20% across the U.K. The National Grid ESO blog has stated the fall-off makes managing grid functions such as voltage regulation more challenging.

Open Climate Fix’s Kelly noted even events such as a nationally-coordinated round of applause for key workers was followed by a dramatic surge in demand, stating: “On April 16, the National Grid saw a nearly 1 GW spike in electricity demand over 10 minutes after everyone finished clapping for healthcare workers and went about the rest of their evenings.”

Climate Change AI workshop panelists also discussed the impact machine learning could have on improving electricity planning in Africa. The Electricity Growth and Use in Developing Economies (e-Guide) initiative funded by fossil fuel philanthropic organization the Rockefeller Foundation aims to use data to improve the planning and operation of electricity systems in developing countries.

E-Guide members Nathan Williams, an assistant professor at the Rochester Institute of Technology (RIT) in New York state, and Simone Fobi, a PhD student at Columbia University in NYC, spoke about their work at the Climate Change AI workshop, which closed on Thursday. Williams emphasized the importance of demand prediction, saying: “Uncertainty around current and future electricity consumption leads to inefficient planning. The weak link for energy planning tools is the poor quality of demand data.”

Fobi said: “We are trying to use machine learning to make use of lower-quality data and still be able to make strong predictions.”

The market maturity of individual solar home systems and PV mini-grids in Africa mean more complex electrification plan modeling is required, similar to integrating AI data centers into Canada's grids at scale.

Modeling

“When we are doing [electricity] access planning, we are trying to figure out where the demand will be and how much demand will exist so we can propose the right technology,” added Fobi. “This makes demand estimation crucial to efficient planning.”

Unlike many traditional modeling approaches, machine learning is scalable and transferable. Rochester’s Williams has been using data from nations such as Kenya, which are more advanced in their electrification efforts, to train machine learning models to make predictions to guide electrification efforts in countries which are not as far down the track.

Williams also discussed work being undertaken by e-Guide members at the Colorado School of Mines, which uses nighttime satellite imagery and machine learning to assess the reliability of grid infrastructure in India, where new algorithms to prevent ransomware-induced blackouts are also advancing.

Rural power

Another e-Guide project, led by Jay Taneja at the University of Massachusetts, Amherst – and co-funded by the Energy and Economic Growth program on development spending based at Berkeley – uses satellite imagery to identify productive uses of electricity in rural areas by detecting pollution signals from diesel irrigation pumps.

Though good quality data is often not readily available for Africa, Williams added, it does exist.

“We have spent years developing trusting relationships with utilities,” said the RIT academic. “Once our partners realize the value proposition we can offer, they are enthusiastic about sharing their data … We can’t do machine learning without high-quality data and this requires that organizations can effectively collect, organize, store and work with data. Data can transform the electricity sector, as shown by Canadian projects to use AI for energy savings, but capacity building is crucial.”

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Toronto Hydro Scam Warning urges customers to spot phishing emails, fraudulent texts, fake bills, and door-to-door threats demanding bitcoin or prepaid cards, with disconnection threats; report scams to the Canadian Anti-Fraud Centre.

Key Points

Advisory on phishing, fake bills, and payment scams posing as Toronto Hydro, with steps to avoid fraud and report.

✅ Hang up suspicious calls; never pay via bitcoin or prepaid cards.

✅ Do not click links in emails or texts; compare bills and account numbers.

✅ Report fraud to the Canadian Anti-Fraud Centre: 1-888-495-8501.

Toronto Hydro has sent out a notice that criminals posing as Toronto Hydro are sending out fraudulent texts, letters and emails, similar to a recent BC Hydro scam reported in British Columbia.

The warning comes in a tweet, along with suggestions on how to protect yourself from fraud, especially as policy debates like an NDP public hydro plan can generate confusing messages.

According to Toronto Hydro, fraudsters are contacting people by phone, text, email, fake electricity bills, and even travelling door-to-door.

They threaten to disconnect the power unless an immediate payment is made, even though legitimate utilities must follow proper disconnection notices processes. The website states that in some cases, criminals request payment via pre-paid credit card or bitcoin.

It’s written on the website that Toronto Hydro does not accept these methods of payment, and they do not threaten to immediately disconnect power, a reminder that stories about power theft abroad are not a model for local billing.

If you suspect you are being targeted, you should immediately hang up any suspicious phone calls. Don’t click on any links in emails or texts asking you to accept electronic transfers, as scammers may impersonate well-known utilities during high-profile news such as Hydro One profit changes to appear credible.

Avoid sharing any personal information over the phone or in-person, and do not make any payments related to Smart Meter Deposits, as this fee does not exist and rate-setting is overseen by the Ontario Energy Board in Ontario.

And remember to always compare bills to previous ones, including the amount and account number, since major accounting decisions like a BC Hydro deferral report can fuel confusing narratives.

To report fraudulent activity, please contact:
Canadian Anti-Fraud Centre at 1-888-495-8501; quote file number 844396

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German Energy Price Brakes harness price signals in a market-based policy, cutting gas consumption, preserving industrial output, and supporting CO2 reduction, showcasing Germany's resilience and adaptation while protecting households and businesses across Europe.

Key Points

Fixed-amount subsidies preserving price signals to curb gas use, shield consumers, and sustain industrial output.

✅ Maintains incentives via market-based price signals

✅ Cuts gas consumption without distorting EU markets

✅ Protects households and industry while curbing CO2

German industry and society are once again proving much more resilient and adaptable than certain people feared. Horror scenarios of a dangerous energy rationing or a massive slump in our economy have often been bandied about. But we are nowhere near that. With a challenging year just behind us, this is good news — not only for Germany, but also for Europe, where France-Germany energy cooperation has strengthened solidarity.

Companies and households reacted swiftly to the sharp increases in energy prices, in line with momentum in the global energy transition seen across markets. They installed more efficient heating or production facilities, switched to alternatives and imported intermediate products. The results are encouraging: German households and businesses have reduced gas consumption significantly, despite recent cold weather. From the start of the war in Ukraine to mid-December industrial gas consumption in Germany was (temperature-adjusted) around 20 per cent lower than the average level for the preceding three years. Even if some firms have cut back production, especially in energy-intensive sectors, industrial output as a whole has only fallen by about 1 per cent since the start of 2022. Added to this, in a survey released by the Ifo institute in November, over a third of German companies saw the potential to reduce gas consumption further without endangering output.

Instead of imposing excessive laws and regulations, we have relied on price signals and the prudence of market participants to create the right incentives and reduce gas consumption, as falling costs like record-low solar power prices continue to reinforce those signals across sectors.

We will follow this approach in coming months, when energy savings will remain important, even as the EU electricity outlook anticipates sharply higher demand by 2050. Our latest relief measures will not distort price signals. To this end, the Bundestag approved gas and electricity price brakes in its final session in 2022. They are designed to function without any intervention in markets or prices. This system will pay out a fixed amount relative to previous years’ consumption and the current difference to a reference price — regardless of current consumption.

Energy price brakes are the main component of Germany’s “protective shield”, which makes up to €200bn available for measures in 2022 to 2024. Seen in relation to the German economy’s size, its past heavy reliance on Russian energy imports and the fact that the measures will expire in 2024, these are balanced and expedient mechanisms. In contrast to instruments used in other countries, our new arrangements will not affect the price formation process driven by supply and demand, or on incentives to save gas. Companies and households will continue to save the full market price when they reduce consumption by a unit of gas or electricity. In this way, the price brakes also avoid the creation of additional demand for gas at the expense of consumers in other European countries, even as Europe’s Big Oil turning electric signals broader structural shifts in energy markets. No one need fear that competition will be distorted or that gas will be bought up. Indeed, a recent IMF working paper on cushioning the impact of high energy prices on households explicitly praises the German energy price brakes.

Current developments confirm the effectiveness of a market-based approach — and show that we should also rely on price signals when it comes to reducing CO₂ emissions, as suggested by IEA CO2 trends in recent years. Last year, households and companies had only a few weeks to adapt, yet we have already seen a strong response. The effect of CO₂ prices can be even stronger, as adaptation is possible over a much longer time and they additionally affect expectations and long-term decisions. Regulatory interventions and subsidy schemes, even if well targeted, cannot compete with market co-ordination and incentives that support individual decision-making and promote innovation.

Europe and Germany can weather this crisis without a collapse in industrial production. We also have an opportunity to deal efficiently with the move to climate neutrality, aligned with Germany’s hydrogen strategy for imported low-carbon fuels. In both cases, we should have confidence in price signals as well as in the power of people and business to innovate and adapt.

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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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