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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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US EV Charging Infrastructure is evolving with interoperable NACS and CCS standards, Tesla Supercharger access, federal funding, ultra-fast charging, mobile apps, and battery advances that reduce range anxiety and expand reliable, nationwide fast-charging access.

Key Points

Nationwide network, standards, and funding enabling fast, interoperable EV charging access for drivers across the US.

✅ NACS and CCS interoperability expands cross-network access

✅ Tesla Superchargers opening to more brands accelerate adoption

✅ Federal funding builds fast chargers along highways and communities

The landscape of electric vehicle (EV) charging infrastructure in the United States is rapidly evolving, driven by technological advancements, collaborative efforts between automakers and charging networks across the country, and government initiatives to support sustainable transportation.

Interoperability and Collaboration

Recent developments highlight a shift towards interoperability among charging networks, even as control over charging continues to be contested across the market today. The introduction of the North American Charging Standard (NACS) and the adoption of the Combined Charging System (CCS) by major automakers underscore efforts to standardize charging protocols. This move aims to enhance convenience for EV drivers by allowing them to use multiple charging networks seamlessly.

Tesla's Role and Expansion

Tesla, a trailblazer in the EV industry, has expanded its Supercharger network to accommodate other EV brands. This initiative represents a significant step towards inclusivity, addressing range anxiety and supporting the broader adoption of electric vehicles. Tesla's expansive network of fast-charging stations across the US continues to play a pivotal role in shaping the EV charging landscape.

Government Support and Infrastructure Investment

The federal government's commitment to infrastructure development is crucial in advancing EV adoption. The Bipartisan Infrastructure Law allocates substantial funding for EV charging station deployment along highways and in underserved communities, while automakers plan 30,000 chargers to complement public investment today. These investments aim to expand access to charging infrastructure, promote economic growth, and reduce greenhouse gas emissions associated with transportation.

Technological Advancements and User Experience

Technological innovations in EV charging, including energy storage and mobile charging solutions, continue to improve user experience and efficiency. Ultra-fast charging capabilities, coupled with user-friendly interfaces and mobile apps, simplify the charging process for consumers. Advancements in battery technology also contribute to faster charging times and increased vehicle range, enhancing the practicality and appeal of electric vehicles.

Challenges and Future Outlook

Despite progress, challenges remain in scaling EV charging infrastructure to meet growing demand. Issues such as grid capacity constraints are coming into sharp focus, alongside permitting processes and funding barriers that necessitate continued collaboration between stakeholders. Addressing these challenges is crucial in supporting the transition to sustainable transportation and achieving national climate goals.

Conclusion

The evolution of EV charging infrastructure in the United States reflects a transformative shift towards sustainable mobility solutions. Through interoperability, government support, technological innovation, and industry collaboration, stakeholders are paving the way for a robust and accessible charging ecosystem. As investments and innovations continue to shape the landscape, and amid surging U.S. EV sales across 2024, the trajectory of EV infrastructure development promises to accelerate, ensuring reliable and widespread access to charging solutions that support a cleaner and greener future.

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Solar ITC Impact on U.S. Wind frames how a 30% solar investment tax credit could undercut wind PTC economics, shift corporate procurement, and, without transmission and storage, slow onshore builds despite offshore wind momentum.

Key Points

It is how a solar ITC extension may curb U.S. wind growth absent PTC parity, transmission, storage, and offshore backing.

✅ ITC at 30% risks shifting corporate procurement to solar.

✅ Post-PTC wind faces grid, transmission, and curtailment headwinds.

✅ Offshore wind, storage pairing, TOU demand could offset.

The booming U.S. wind industry, amid a wind power surge, faces an uncertain future in the 2020s. Few factors are more important than the fate of the solar ITC.

An extension of the solar investment tax credit (ITC) at its 30 percent value would be “devastating” to the future U.S. wind market, according to a new Wood Mackenzie report.

The U.S. is on track to add a record 14.6 gigawatts of new wind capacity in 2020, despite Covid-19 impacts, and nearly 39 gigawatts during a three-year installation boom from 2019 to 2021, according to Wood Mackenzie’s 2019 North America Wind Power Outlook.

But the market’s trajectory begins to look highly uncertain from the early 2020s onward, and solar is one of the main reasons why.

Since the dawn of the modern American renewables market, the wind and solar sectors have largely been allies on the national stage, benefiting from many of the same favorable government plans and sharing big-picture goals. Until recently, wind and solar companies rarely found themselves in direct competition.

But the picture is changing as solar catches up to wind on cost and the grid penetration of renewables surges. What was once a vague alliance between the two fastest growing renewables technologies could morph into a serious rivalry.

While many project developers are now active in both sectors, including NextEra Energy Resources, Invenergy and EDF, the country’s thriving base of wind manufacturers could face tougher days ahead.

The ITC's inherent advantage

At this point, wind remains solar’s bigger sibling in many ways.

The U.S. has nearly 100 gigawatts of installed wind capacity today, compared to around 67 gigawatts of solar. With their substantially higher capacity factors, wind farms generated four times more power for the U.S. grid last year than utility-scale solar plants, for a combined wind-solar share of 8.2 percent, according to government figures, even as renewables are projected to reach one-fourth of U.S. electricity generation. (Distributed PV systems further add to solar’s contribution.)

But it's long been clear that wind would lose its edge at some point. The annual solar market now regularly tops wind. The cost of solar energy is falling more rapidly, and appears to have more runway for further reduction. Solar’s inherent generation pattern is more valuable in many markets, delivering power during peak-demand hours, while the wind often blows strongest at night.

And then there’s the matter of the solar ITC.

In 2015, both wind and solar secured historic multi-year extensions to their main federal subsidies. The extensions gave both industries the longest period of policy clarity they’ve ever enjoyed, setting in motion a tidal wave of installations set to crest over the next few years.

Even back in 2015, however, it was clear that solar got the better deal in Washington, D.C.

While the wind production tax credit (PTC) began phasing down for new projects almost immediately, solar developers were given until the end of 2019 to qualify projects for the full ITC.

And critically, while the wind PTC drops to nothing after its sunset, commercially owned solar projects will remain eligible for a 10 percent ITC forever, based on the existing legislation. Over time, that amounts to a huge advantage for solar.

In another twist, the solar industry is now openly fighting for an extension of the 30 percent ITC, while the wind industry seemingly remains cooler on the prospect of pushing for a similar prolongation — having said the current PTC extension would be the last.

Plenty of tailwinds, too

Wood Mackenzie's report catalogues multiple factors that could work for or against the wind market in the "uncharted" post-PTC years, many of them, including the Covid-19 crisis, beyond the industry’s direct control.

If things go well, annual installations could bounce back to near-record levels by 2027 after a mid-decade contraction, the report says. But if they go badly, installations could remain depressed at 4 gigawatts or below from 2022 through most of the coming decade, and that includes an anticipated uplift from the offshore market.

An extension of the solar ITC without additional wind support would “severely compound” the wind market’s struggle to rebound in the 2020s, the report says. The already-evident shift in corporate renewables procurement from wind to solar could intensify dramatically.

The other big challenge for wind in the 2020s is the lack of progress on transmission infrastructure that would connect potentially massive low-cost wind farms in interior states with bigger population centers. A hoped-for national infrastructure package that might address the issue has not materialized.

Even so, many in the wind business remain cautiously optimistic about the post-PTC years, with a wind jobs forecast bolstering sentiment, and developers continue to build out longer-term project pipelines.

Turbine technology continues to improve. And an extension of the solar ITC is far from assured.

Other factors that could work in wind’s favor in the years ahead include:

The nascent offshore sector, which despite lingering regulatory uncertainty at the federal level looks set to blossom into a multi-gigawatt annual market by the mid-2020s, in line with an offshore wind forecast that highlights substantial growth potential. Lobbying efforts for an offshore wind ITC extension are gearing up, offering a potential area for cooperation between wind and solar.

The potential linkage of policy support for energy storage to wind projects, building on the current linkage with solar.

Growing electric vehicle sales and a shift toward time-of-use retail electricity billing, which could boost power demand during off-peak hours when wind generation is strong.

The land-use advantages wind farms have over solar in some agricultural regions.

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Raindrop Triboelectric Energy Harvesting converts falling water into electricity using Teflon (PTFE) on indium tin oxide and an aluminum electrode, forming a transient water bridge; a low frequency nanogenerator for renewable, static electricity harvesting.

Key Points

A method using PTFE, ITO, and an aluminum electrode to turn raindrop impacts into low frequency electrical power.

✅ PTFE on ITO boosts charge transfer efficiency.

✅ Water bridge links electrodes for rapid discharge.

✅ Low frequency output suits continuous energy harvesting.

Scientists at the City University of Hong Kong have used a Teflon-coated surface and a phenomenon called triboelectricity to generate a charge from raindrops. “Here we develop a device to harvest energy from impinging water droplets by using an architecture that comprises a polytetrafluoroethylene [Teflon] film on an indium tin oxide substrate plus an aluminium electrode,” they explain in their new paper in Nature as a step toward cheap, abundant electricity in the long term.

Triboelectricity itself is an old concept. The word means “friction electricity”—from the Greek tribo, to rub or wear down, which is why a diatribe tires you out—and dates back a long, long time. Static electricity is the most famous kind of triboelectric, and related work has shown electricity from the night sky can be harvested as well in niche setups. In most naturally occurring kinds, scientists have studied triboelectric in order to avoid its effects, like explosions inside of grain silos or hospital workers touching off pure oxygen. (Blowing sand causes an electric field, and NASA even worries about static when astronauts eventually land on Mars.)

One of the most studied forms of intentional and useful triboelectric is in systems such as ocean wave generators where the natural friction of waves meets nanogenerators of triboelectric energy. These even already use Teflon, which has natural conductivity that makes it ideal for this job. But triboelectricity is chaotic, and harnessing it generally involves a bunch of complicated, intersecting variables that can vary with the hourly weather. Promises of static electricity charging devices have often been, well, so much hot, sandy wind.

The scientists at City University of Hong Kong used triboelectric ideas to turn falling raindrops into energy. They say previous versions of the same idea were not very efficient, with materials that didn’t allow for high-fidelity transfer of electrical charge. (Many sources of renewable energy aren’t yet as efficient to turn into power, both because of developing technology and because their renewability means even less efficient use could be better than, for example, fossil fuels, and advances in renewable energy storage could help.)

“[A]chieving a high density of electrical power generation is challenging,” the team explains in its paper. “Traditional hydraulic power generation mainly uses electromagnetic generators that are heavy, bulky, and become inefficient with low water supply.” Diversifying how power is generated by water sources such as oceans and rivers is good for the existing infrastructure as well as new installations.

The research team found that as simulated raindrops fell on their device, the way the water accumulated and spread created a link between their two electrodes, one Teflon-coated and the other aluminum. This watery de facto wire link closes the loop and allows accumulated energy to move through the system. Because it’s a mechanical setup, it’s not limited to salty seawater, and because the medium is already water, its potential isn’t affected by ambient humidity either.

Raindrop energy is very low frequency, which means this tech joins many other existing pushes to harvest continuously available, low frequency natural energy, including underwater 'kites' that exploit steady currents. To make an interface that increases “instantaneous power density by several orders of magnitude over equivalent devices,” as the researchers say they’ve done here, could represent a major step toward feasibility in triboelectric generation.

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TransAlta Alberta Data Centre integrates AI, cloud computing, and renewable energy, tackling electricity demand, grid capacity, decarbonization, and energy storage with clean power, cooling efficiency, and PPA-backed supply for hyperscale workloads.

Key Points

TransAlta Alberta Data Centre is a planned AI facility powered mostly by renewables to meet high electricity demand.

✅ Targets partner exclusivity mid-year; ops 18-24 months post-contract.

✅ Supplies ~90% power via TransAlta; balance from market.

✅ Anchors $3.5B clean energy growth and storage in Alberta.

TransAlta Corp., one of Alberta’s leading power producers, is moving toward finalizing agreements with partners to establish a data centre in the province, aligned with AI data center grid integration efforts nationally, aiming to have definitive contracts signed before the end of the year.

CEO John Kousinioris stated during an analyst conference that the company seeks to secure exclusivity with key partners by mid-year, with detailed design plans and final agreements expected by late 2025. Once the contracts are signed, the data centre is anticipated to be operational within 18 to 24 months, a horizon mirrored by Medicine Hat AI grid upgrades initiatives that aim to modernize local systems.

Data centres, which are critical for high-tech industries such as artificial intelligence, consume large amounts of electricity to run and cool servers, a trend reflected in U.S. utility power challenges reporting, underscoring the scale of energy demand. In this context, TransAlta plans to supply around 90% of its partner's energy needs for the facility, with the remainder coming from the broader electricity market.

Alberta has identified data centres as a strategic priority, aiming to see $100 billion in AI-related data centre construction over the next five years. However, the rapid growth of this sector presents challenges for the region’s energy infrastructure. Electricity demand from data centres has already outpaced the available capacity in Alberta’s power grid, intensifying discussions about a western Canadian electricity grid to improve regional reliability, potentially impacting the province’s decarbonization goals.

To address these challenges, TransAlta has adopted a renewable energy investment strategy. The company announced a $3.5 billion growth plan focused primarily on clean electricity generation and storage, as British Columbia's clean energy shift advances across the region, through 2028. By then, more than two-thirds of TransAlta’s earnings are expected to come from renewable power generation, supporting progress toward a net-zero electricity grid by 2050 nationally.

The collaboration between TransAlta and data centre developers represents an opportunity to balance growing energy demand with sustainability goals. By integrating renewable energy generation into data centre operations and broader macrogrid investments, Alberta could move toward a cleaner and more resilient energy future.

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EU Renewable Energy Shift is cutting gas dependence as wind and solar expand, reshaping Europe's power mix, curbing emissions, and pressuring coal use amid a supply crisis and rising natural gas prices.

Key Points

An EU trend where wind and solar growth reduce gas reliance, curb coal, and lower power-sector emissions.

✅ Wind and solar displace gas in EU power mix

✅ Coal use rises as gas prices surge

✅ Emissions fall, but not fast enough for 1.5 C target

The European Union’s renewable energy sources are helping reduce its dependence on natural gas, under the current European electricity pricing framework, that’s still costing the region dearly.

Renewables growth has helped reduce the EU’s dependence on gas, as wind and solar outpaced gas across the bloc last year, which has soared in price since the middle of last year as the region grapples with a supply crisis that’s dealt blows to industries as well as ordinary consumers’ pockets. More than half of new renewable generation since 2019 has replaced gas power, according to a study by London-based climate think tank Ember, with the rest replacing mainly nuclear and coal sources.

“These are moments and paradigm shifts when governments and businesses start taking this much more seriously,” said Charles Moore, the lead author on the study, amid Covid-19 responses accelerating the transition across Europe. “The alternatives are available, they are cheaper, and they are likely to get even cheaper and more competitive. Renewables are now an opportunity, not a cost.”

The high price of gas relative to coal has meant utilities are leaning more on coal as a back-up for renewable generation, as stunted hydro and nuclear output has constrained low-carbon alternatives in parts of Europe, which risks the trajectory of Europe’s phase-out of the dirtiest fossil fuel. Last year, the EU’s coal use jumped disproportionately high relative to the rise in power generation as high gas prices boosted the relative profitability of burning coal instead.

Europe Coal Use Jumps as Costly Gas Turns Firms to Dirty Fuel
EU power generation from renewables reached a record high in 2021 of 547 terawatt-hours last year, accounting for an 11% increase compared to two years before, according to Ember’s Europe Electricity Review. It’s more than doubled in a decade, representing a 157% increase since 2011. 

Gas use declined last year for the second year in a row, as Europe explores storing electricity in gas pipelines to leverage existing infrastructure, reaching a level 8.1% lower than 2019. By contrast, coal use fell just 3.3% in the same period. Put simply, wind and solar did a great job of replacing coal during 2011-2019 but since then renewables have mostly been nudging out gas-fired power stations.

Ember’s Moore warned that the slowing phase-out of coal might require legislation to accelerate. The International Energy Agency recommends OECD countries cease using coal by the end of the decade to ensure alignment with the Paris Agreement target of keeping the world’s temperature increase below 1.5 Celsius, with renewables poised to eclipse coal globally by the mid-2020s lending momentum. 

“Europe can accelerate the phasing out of coal by building more renewable energy and faster,” said Felicia Aminoff,  an energy-transition analyst at BloombergNEF. “Wind and solar have no fuel costs, so as soon as you have made the initial investments to build wind and solar capacity it will start replacing generation that uses any kind of fuel, whether it is coal or gas.”

Overall, EU power sector emissions fell at less than half the rate required to hit that target, Ember’s report said. Spain produced the largest emissions reduction in the last two years, with renewables adding about 25 TWh and gas falling 15 TWh, and in Germany renewables topped coal and nuclear for the first time to support the shift. In contrast, heavy use of coal dragged down the bloc’s climate progress in Poland, where coal use rose about 8 TWh and renewables gained only 4 TWh.

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