South Korea pumps up renewable energy

AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

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Ontario Ultra-Low Overnight Electricity Rate lets eligible customers opt in to 2.4 cents per kWh time-of-use pricing, set by the Ontario Energy Board, as utilities roll out the plan between May 1 and Nov. 1.

Key Points

An OEB-set overnight TOU price of 2.4 cents per kWh for eligible Ontarians, rolling out in phases via local utilities.

✅ 8 of 61 utilities offering rate at May 1 launch

✅ About 20% of 5M customers eligible at rollout

✅ Enova Power delays amid merger integration work

A million households can opt into a new ultra-low overnight electricity rate offered by the Ministry of Energy, as province-wide rate changes begin, but that's just a fraction of customers in Ontario.

Only eight of the 61 provincial power utilities will offer the new rate on the May 1 launch date, following the earlier fixed COVID-19 hydro rate period. The rest have up to six months to get on board.

That means it will be available to 20 percent of the province's five million electricity consumers, the Ministry of Energy confirmed to CBC News.

The Ford government's new overnight pricing was pitched as a money saver for Ontarians, amid the earlier COVID-19 recovery rate that could raise bills, undercutting its existing overnight rate from 7.4 to 2.4 cents per kilowatt hour. Both rates are set by the Ontario Energy Board (OEB).

"We wanted to roll it out to as many people as possible," Kitchener-Conestoga PC MPP Mike Harris Jr. told CBC News. "These companies were ready to go, and we're going to continue to work with our local providers to make sure that everybody can meet that Nov. 1 deadline."

Enova Power — which serves Kitchener, Waterloo, Woolwich, Wellesley and Wilmot — won't offer the reduced overnight rate until the fall, after typical bills rose when fixed pricing ended province-wide.

Enova merger stalls adoption

The power company is the product of the recently merged Kitchener-Wilmot Hydro and Waterloo North Hydro.

The Sept. 1 merger is a major reason Enova Power isn't offering the ultra-low rate alongside the first wave of power companies, said Jeff Quint, innovation and communications manager.

"With mergers, a lot of work goes into them. We have to evaluate, merge and integrate several systems and processes," said Quint.

"We believe that we probably would have been able to make the May 1 timeline otherwise."

The ministry said retroactive pricing wouldn't be available, unlike the off-peak price freeze earlier in the pandemic, and Harris said he doesn't expect the province will issue any rebates to customers of companies that introduce the rates later than May 1.

"These organizations were able to look at rolling things out sooner. But, obviously — if you look at Toronto Hydro, London, Centre Wellington, Hearst, Renfrew — there's a dynamic range of large and smaller-scale providers there. I'm very hopeful the Region of Waterloo folks will be able to work to try and get this done as soon as we can," Harris said.

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IESO Fictitious Demand Error inflated HOEP in the Ontario electricity market, after embedded generation was mis-modeled; the OEB says double-counted load lifted wholesale prices and shifted costs via the Global Adjustment.

Key Points

An IESO modeling flaw that double-counted load, inflating HOEP and charges in Ontario's wholesale market.

✅ Double-counted unmetered load from embedded generation

✅ Inflated HOEP; shifted costs via Global Adjustment

✅ OEB flagged transparency; exporters paid more

For almost a year, the operator of Ontario’s electricity system erroneously counted enough phantom demand to power a small city, causing prices to spike and hundreds of millions of dollars in extra charges to consumers, according to the provincial energy regulator.

The Independent Electricity System Operator (IESO) also failed to tell anyone about the error once it noticed and fixed it.

The error likely added between $450 million and $560 million to hourly rates and other charges before it was fixed in April 2017, according to a report released this month by the Ontario Energy Board’s Market Surveillance Panel.

It did this by adding as much as 220 MW of “fictitious demand” to the market starting in May 2016, when the IESO started paying consumers who reduced their demand for power during peak periods. This involved the integration of small-scale embedded generation (largely made up of solar) into its wholesale model for the first time.

The mistake assumed maximum consumption at such sites without meters, and double-counted that consumption.

The OEB said the mistake particularly hurt exporters and some end-users, who did not benefit from a related reduction of a global adjustment rate applicable to other customers.

“The most direct impact of the increase in HOEP (Hourly Ontario Energy Price) was felt by Ontario consumers and exporters of electricity, who paid an artificially high HOEP, to the benefit of generators and importers,” the OEB said.

The mix-up did not result in an equivalent increase in total system costs, because changes to the HOEP are offset by inverse changes to a electricity cost allocation mechanism such as the Global Adjustment rate, the OEB noted.

A chart from the OEB's report shows the time of day when fictitious demand was added to the system, and its influence on hourly rates.

Peak time spikes
The OEB said that the fictitious demand “regularly inflated” the hourly price of energy and other costs calculated as a direct function of it.

For almost a year, Ontario's electricity system operator @IESO_Tweets erroneously counted enough phantom demand to power a small city, causing price spikes and hundreds of millions in charges to consumers, @OntEnergyBoard says. @5thEstate reports.

It estimated the average increase to the HOEP was as much as $4.50/MWh, but that price spikes, compounded by scheduled OEB rate changes, would have been much higher during busier times, such as the mid-morning and early evening.

“In times of tight supply, the addition of fictitious demand often had a dramatic inflationary impact on the HOEP,” the report said.

That meant on one summer evening in 2016 the hourly rate jumped to $1,619/MWh, it said, which was the fourth highest in the history of the Ontario wholesale electricity market.

“Additional demand is met by scheduling increasingly expensive supply, thus increasing the market price. In instances where supply is tight and the supply stack is steep, small increases in demand can cause significant increases in the market price.

The OEB questioned why, as of September this year, the IESO had failed to notify its customers or the broader public, amid a broader auditor-regulator dispute that drew political attention, about the mistake and its effect on prices.

“It's time for greater transparency on where electricity costs are really coming from,” said Sarah Buchanan, clean energy program manager at Environmental Defence.

“Ontario will be making big decisions in the coming years about whether to keep our electricity grid clean, or burn more fossil fuels to keep the lights on,” she added. “These decisions need to be informed by the best possible evidence, and that can't happen if critical information is hidden.”

In a response to the OEB report on Monday, the IESO said its own initial analysis found that the error likely pushed wholesale electricity payments up by $225 million. That calculation assumed that the higher prices would have changed consumer behaviour, while upcoming electricity auctions were cited as a way to lower costs, it said.

In response to questions, a spokesperson said residential and small commercial consumers would have saved $11 million in electricity costs over the 11-month period, even as a typical bill increase loomed province-wide, while larger consumers would have paid an extra $14 million.

That is because residential and small commercial customers pay some costs via time-of-use rates, including a temporary recovery rate framework, the IESO said, while larger customers pay them in a way that reflects their share of overall electricity use during the five highest demand hours of the year.

The IESO said it could not compensate those that had paid too much, given the complexity of the system, and that the modelling error did not have a significant impact on ratepayers.

While acknowledging the effects of the mistake would vary among its customers, the IESO said the net market impact was less than $10 million, amid ongoing legislation to lower electricity rates in Ontario.

It said it would improve testing of its processes prior to deployment and agreed to publicly disclose errors that significantly affect the wholesale market in the future.

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Nighttime thermoradiative power converts outgoing infrared radiation into electricity using semiconductor photodiodes, leveraging negative illumination and sky cooling to harvest renewable energy from Earth-to-space heat flow when solar panels rest, regardless of weather.

Key Points

Nighttime thermoradiative power converts Earth's outgoing infrared heat into electricity using semiconductor diodes.

✅ Uses negative illumination to tap Earth-to-space heat flow

✅ Infrared semiconductor photodiodes generate small nighttime current

✅ Theoretical output ~4 W/m^2; lab demo reached 64 nW/m^2

There's a stark contrast between the freezing temperatures of space and the relatively balmy atmosphere of Earth, and that contrast could help generate electricity, scientists say – and alongside concepts such as space-based solar power, utilizing the same optoelectronic physics used in solar panels. The obvious difference this would have compared with solar energy is that it would work during the night time, a potential source of renewable power that could keep on going round the clock and regardless of weather conditions.

Solar panels are basically large-scale photodiodes - devices made out of a semiconducting material that converts the photons (light particles) coming from the Sun into electricity by exciting electrons in a material such as silicon, while concepts like space solar beaming could complement them during adverse weather.

In this experiment, the photodiodes work 'backwards': as photons in the form of infrared radiation - also known as heat radiation - leave the system, a small amount of energy is produced, similar to how raindrop electricity harvesting taps ambient fluxes in other experiments.

This way, the experimental system takes advantage of what researchers call the "negative illumination effect" – that is, the flow of outgoing radiation as heat escapes from Earth back into space. The setup explained in the new study uses an infrared semiconductor facing into the sky to convert this flow into electrical current.

"The vastness of the Universe is a thermodynamic resource," says one of the researchers, Shanhui Fan from Stanford University in California.

"In terms of optoelectronic physics, there is really this very beautiful symmetry between harvesting incoming radiation and harvesting outgoing radiation."

It's an interesting follow-up to a research project Fan participated in last year: a solar panel that can capture sunlight while also allowing excess heat in the form of infrared radiation to escape into space.

In the new study, this "energy harvesting from the sky" process can produce a measurable amount of electricity, the researchers have shown – though for the time being it's a long way from being efficient enough to contribute to our power grids, but advances in peer-to-peer energy sharing could still make niche deployments valuable.

In the team's experiments they were able to produce 64 nanowatts per square metre (10.8 square feet) of power – only a trickle, but an amazing proof of concept nevertheless. In theory, the right materials and conditions could produce a million times more than that, and analyses of cheap abundant electricity show how rapidly such advances compound, reaching about 4 watts per square metre.

"The amount of power that we can generate with this experiment, at the moment, is far below what the theoretical limit is," says one of the team, Masashi Ono from Stanford.

When you consider today's solar panels are able to generate up to 100-200 watts per square metre, and in China solar is cheaper than grid power across every city, this is obviously a long way behind. Even in its earliest form, though, it could be helpful for keeping low-power devices and machines running at night: not every renewable energy device needs to power up a city.

Now that the researchers have proved this can work, the challenge is to improve the performance of the experimental device. If it continues to show promise, the same idea could be applied to capture energy from waste heat given off by machinery, and results in humidity-powered generation suggest ambient sources are plentiful.

"Such a demonstration of direct power generation of a diode facing the sky has not been previously reported," explain the researchers in their published paper.

"Our results point to a pathway for energy harvesting during the night time directly using the coldness of outer space."

The research has been published in Applied Physics Letters.

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Hydro One Avista merger faces regulatory scrutiny in Washington, Oregon, and Idaho, as political risk outweighs defensive utilities fundamentals like stable cash flow, rate base growth, EPS outlook, and a near 5% dividend yield.

Key Points

A planned Hydro One-Avista acquisition awaiting key state approvals amid elevated political and regulatory risk.

✅ Hold rating, $24 price target, 28.1% implied return

✅ EPS forecast: $1.27 in 2018; $1.38 in 2019

✅ Defensive utility: stable cash flow, 4-6% rate base growth

A seemingly positive development for Hydro One is overshadowed by ongoing political and regulatory risk, as seen after the CEO and board ouster, Industrial Alliance Securities analyst Jeremy Rosenfield says.

On October 4, staff from the Washington Utilities and Transportation Commission filed updated testimony in support of the merger of Hydro One and natural gas distributor Avista, which had previously received U.S. antitrust clearance from federal authorities.

The merger, which was announced in July of 2017 has received the green light from federal and key states, with Washington, Oregon and Idaho being exceptions, though the companies would later seek reconsideration from U.S. regulators in the process.

But Rosenfield says even though decisions from Oregon and Idaho are expected by December, there are still too many unknowns about Hydro One to recommend investors jump into the stock.

Hydro One stock defensive but risky

“We continue to view Hydro One as a fundamentally defensive investment, underpinned by (1) stable earnings and cash flows from its regulated utility businesses (2) healthy organic rate base and earning growth (4-6%/year through 2022) and (3) an attractive dividend (~5% yield, 70-80% target payout),” the analyst says. “In the meantime, and ahead of key regulatory approvals in the AVA transaction, we continue to see heightened political/regulatory risk as an overhand on the stock, outweighing Hydro One’s fundamentals in the near term.”

In a research update to clients today, Rosenfield maintained his “Hold” rating and one year price target of $24.00 on Hydro One, implying a return of 28.1 per cent at the time of publication.

Rosenfield thinks Hydro One will generate EPS of $1.27 per share in fiscal 2018, even though its Q2 profit plunged 23% as electricity revenue fell. He expects that number will improve to EPS of $1.38 a share the following year.

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Ukraine Winter Energy Strategy strengthens the power grid through infrastructure repairs, electricity imports, renewable integration, nuclear output, and conservation to ensure reliable heating, blackout mitigation, and grid resilience with international aid, generators, and transmission lines.

Key Points

A wartime plan to stabilize Ukraine's grid via repairs, imports, renewables, and nuclear to deliver reliable electricity.

✅ Repairs, imports, and demand management stabilize the grid.

✅ Renewables and nuclear reduce outage risks in winter.

✅ International aid supplies transformers, generators, expertise.

As Ukraine braces for the winter months, the question of how the country will keep the lights on has become a pressing concern, as the country fights to keep the lights on amid ongoing strikes. The ongoing war with Russia has severely disrupted Ukraine's energy infrastructure, leading to widespread damage to power plants, transmission lines, and other critical energy facilities. Despite these challenges, Ukraine has been working tirelessly to maintain its energy supply during the cold winter months, which are essential not only for heating but also for the functioning of homes, businesses, hospitals, and schools. Here's a closer look at the steps Ukraine is taking to keep the lights on this winter and ensure that its people have access to reliable electricity.

1. Repairing Damaged Infrastructure

One of the most immediate concerns for Ukraine's energy sector is the extensive damage inflicted on its power infrastructure by Russian missile and drone attacks. Since the war began in 2022, Ukraine has faced repeated attacks targeting power plants, substations, and power lines, including strikes on western regions that caused widespread outages across communities. These attacks have left parts of the country with intermittent or no electricity, and repairing the damage has been a monumental task.

However, Ukraine has made significant progress in restoring its energy infrastructure. Government agencies and energy companies have been working around the clock to repair power plants and transmission networks. Teams of technicians and engineers have been deployed to restore power to areas that have been hardest hit by Russian attacks, often under difficult and dangerous conditions. While some areas may continue to face outages, efforts to rebuild the energy grid are ongoing, with the government prioritizing critical infrastructure to ensure that hospitals, military facilities, and essential services have access to power.

2. Energy Efficiency and Conservation Measures

To cope with reduced energy availability and avoid overloading the grid, Ukrainian authorities have been encouraging energy efficiency and conservation measures. These efforts are particularly important during the winter when demand for electricity and heating is at its peak.

The government has implemented energy-saving programs, urging citizens and businesses to reduce their consumption and adopt new energy solutions that can be deployed quickly. Measures include limiting electricity use during peak hours, setting thermostats lower in homes and businesses, and encouraging the use of energy-efficient appliances. Ukrainian officials have also been promoting public awareness campaigns to educate people about the importance of energy conservation, which is crucial to avoid grid overload and ensure the distribution of power across the country.

3. Importing Energy from Abroad

To supplement domestic energy production, Ukraine has been working to secure electricity imports from neighboring countries. Ukraine has long been interconnected with energy grids in countries such as Poland, Slovakia, and Hungary, which allows it to import electricity during times of shortage. In recent months, Ukraine has ramped up efforts to strengthen these connections, ensuring that it can import electricity when domestic production is insufficient to meet demand, and in a notable instance, helped Spain during blackouts through coordinated cross-border support.

While electricity imports from neighboring countries provide a temporary solution, this is not without its challenges. The cost of importing electricity can be high, and the country’s ability to import large amounts of power depends on the availability of energy in neighboring nations; officials say there are electricity reserves and no scheduled outages if strikes do not resume. Ukraine has been actively seeking new energy partnerships and working with international organizations to secure access to electricity, including exploring the potential for importing energy from the European Union.

4. Harnessing Renewable Energy Sources

Another key part of Ukraine's strategy to keep the lights on this winter is tapping into renewable energy sources, particularly wind and solar power. While Ukraine’s energy sector has historically been dependent on fossil fuels, the country has been making strides in integrating renewable energy into its grid. Solar and wind energy are particularly useful in supplementing the national grid, especially during the winter months when demand is high.

Renewable energy sources are less vulnerable to missile strikes compared to traditional power plants, making them an attractive option for Ukraine's energy strategy. Although renewable energy currently represents a smaller portion of Ukraine’s overall energy mix, its contribution is expected to increase as the country invests more in clean energy infrastructure. In addition to reducing dependence on fossil fuels, this shift is aligned with Ukraine’s broader environmental goals and will be important for the long-term sustainability of its energy sector.

5. International Aid and Support

International support has been crucial in helping Ukraine keep the lights on during the war. Western allies, including the European Union and the United States, have provided financial assistance, technical expertise, and equipment to help restore the energy infrastructure, though Washington recently ended some grid restoration support as priorities shifted. In addition to rebuilding power plants and transmission lines, Ukraine has received advanced energy technologies and materials to strengthen its energy security.

The U.S. has sent electrical transformers, backup generators, and other essential equipment to help Ukraine restore its energy grid. The European Union has also provided both financial and technical assistance, supporting Ukraine’s efforts to integrate more renewable energy into its grid and enhancing the country’s ability to import electricity from neighboring states.

6. The Role of Nuclear Energy

Ukraine’s nuclear energy plants play a critical role in the country’s electricity supply. Before the war, nuclear power accounted for around 50% of Ukraine’s total electricity generation, and for communities near the front line, electricity is civilization that depends on reliable baseload. Despite the ongoing conflict, Ukrainian nuclear plants have remained operational, though they face heightened security risks due to the proximity of active combat zones.

In the winter months, nuclear plants are expected to continue providing a significant portion of Ukraine's electricity, which is essential for meeting the country's heating and power needs. The government has made efforts to ensure the safety and security of these plants, which remain a vital part of the country's energy strategy.

Keeping the lights on in Ukraine during the winter of 2024 is no small feat, given the war-related damage to energy infrastructure, rising energy demands, and ongoing security risks. However, the Ukrainian government has taken proactive steps to address these challenges, including repairing critical infrastructure, importing energy from neighboring countries, promoting energy efficiency, and expanding renewable energy sources. International aid and the continued operation of nuclear plants also play a vital role in ensuring a reliable energy supply. While challenges remain, Ukraine’s resilience and determination to overcome its energy crisis are clear, and the country is doing everything it can to keep the lights on through this difficult winter.

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