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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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Australia-PNG Infrastructure Rollout delivers electricity and broadband expansion across PNG, backed by New Zealand, the US, Japan, and South Korea, enhancing telecom capacity, digital connectivity, and regional development ahead of the APEC summit.

Key Points

A multi-billion-dollar plan to expand power and broadband in PNG, covering 70% of users with allied support.

✅ Delivers internet to 70% of PNG households and communities

✅ Expands electricity grid, boosting reliability and access

✅ Backed by NZ, US, Japan, and S. Korea; complements APEC investments

Australia will lead a new multi-billion-dollar electricity and internet rollout in Papua New Guinea, with the PM rules out taxpayer-funded power plants stance underscoring its approach to energy policy.

The Australian newspaper reported New Zealand, the US, Japan, whose utilities' offshore wind deal in the UK signaled expanding energy interests, and South Korea are supporting the project, which will be PNG's largest ever development investment.

The project will deliver internet to 70 percent of PNG and improve access to power, even as clean energy investment in developing nations has slipped sharply, according to a recent report.

Both China and the US are also expected to announce new investments in the region at the APEC summit this week, and recent China-Cambodia nuclear energy cooperation underscores those energy ties.

Beijing will announce new mining and energy investments in PNG, echoing projects such as the Chinese-built electricity poles plant in South Sudan, and two Confucius Insitutes to be housed at PNG universities.

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Commercial Electric Tariffs explain utility rate structures, peak demand charges, kWh vs kW pricing, time-of-use periods, voltage, delivery, capacity ratchets, and riders, guiding facility managers in tariff analysis for accurate energy savings.

Key Points

Commercial electric tariffs define utility pricing for energy, demand, delivery, time-of-use periods, riders, and ratchet charges.

✅ Separate kWh charges from kW peak demand fees.

✅ Verify time-of-use windows and demand interval length.

✅ Review riders, capacity ratchets, and minimum demand clauses.

Especially during these tough economic times, as major changes to electric bills are debated in some states, facility executives who don’t understand how their power is priced have been disappointed when their energy projects failed to produce expected dollar savings. Here’s how not to be one of them.

Your electric rate is spelled out in a document called a “tariff” that can be downloaded from your utility’s web page. A tariff should clearly spell out the costs for each component that is part of your rate, reflecting cost allocation practices in your region. Don’t be surprised to learn that it contains a bunch of them. Unlike residential electric rates, commercial electric bills are not based solely on the quantity of kilowatt-hours (kWh) consumed in a billing period (in the United States, that’s a month). Instead, different rates may apply to how your power is supplied, how it is delivered via electricity delivery charges, when it was consumed, its voltage, how fast it was used (in kW), and other factors.

If a tariff’s lingo and word structure are too opaque, spend some time with a utility account rep to translate it. Many state utility commissions also have customer advocates that may assist as they explore new utility rate designs that affect customers. Alternatively, for a fee, facility managers can privately chat with an energy consultant.

Common mistakes

Many facility managers try to estimate savings based on an averaged electric rate, i.e., annual electric spend divided by annual kWh. However, in markets where electricity demand is flat, such a number may obscure the fastest rising cost component: monthly peak demand charges, measured in dollars per kW (or kilo-volt-amperes, kVA).

This charge is like a monthly speeding ticket, based solely on the highest speed you drove during that time. In some areas, peak demand charges now account for 30 to 60 percent of a facility’s annual electric spend. When projecting energy cost savings, failing to separately account for kW peak demand and kWh consumption may result in erroneous results, and a lot of questions from the C-suite.

How peak demand charges are calculated varies among utilities. Some base it on the highest average speed of use across one hour in a month, while others may use the highest average speed during a 15- or 30-minute period. Others may average several of the highest speeds within a defined time period (for example, 8 a.m. to 6 p.m. on weekdays). It is whatever your tariff says it is.

Because some power-consuming (or producing) devices, including those tied to smart home electricity networks, vary in their operation or abilities, they may save money on a few — but not all — of those rate components. If an equipment vendor calculates savings from its product by using an average electric rate, take pause. Tell the vendor to return after the proposal has been redone using tariff-based numbers.

When a vendor is the only person calculating potential savings from using a product, there’s also a built-in conflict of interest: The person profiting from an equipment sale should not also be the one calculating its expected financial return. Before signing any energy project contracts, it’s essential that someone independent of the deal reviews projected savings. That person (typically an energy or engineering consultant) should be quite familiar with your facility’s electric tariff, including any special provisions, riders, discounts, etc., that may pertain. When this doesn’t happen, savings often don’t occur as planned. 

For example, some utilities add another form of demand charge, based on the highest kW in a year. It has various names: capacity, contract demand, or the generic term “ratchet charge.” Some utilities also have a minimum ratchet charge which may be based on a percent of a facility’s annual kW peak. It ensures collection of sufficient utility revenue to cover the cost of installed transmission and distribution even when a customer significantly cuts its peak demand.

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US Nuclear Generating Costs 2017 show USD33.50/MWh for nuclear energy, the lowest since 2008, as capital expenditures, fuel costs, and operating costs declined after license renewals and uprates, supporting a reliable, low-carbon grid.

Key Points

The 2017 US nuclear average was USD33.50/MWh, lowest since 2008, driven by reduced capital, fuel, and operating costs.

✅ Average cost USD33.50/MWh, lowest since 2008

✅ Capital, fuel, O&M costs fell sharply since 2012 peak

✅ License renewals, uprates, market reforms shape competitiveness

Average total generating costs for nuclear energy in 2017 in the USA were at their lowest since 2008, according to a study released by the Nuclear Energy Institute (NEI), amid a continuing nuclear decline debate in other regions.

The report, Nuclear Costs in Context, found that in 2017 the average total generating cost - which includes capital, fuel and operating costs - for nuclear energy was USD33.50 per megawatt-hour (MWh), even as interest in next-generation nuclear designs grows among stakeholders. This is 3.3% lower than in 2016 and more than 19% below 2012's peak. The reduction in costs since 2012 is due to a 40.8% reduction in capital expenditures, a 17.2% reduction in fuel costs and an 8.7% reduction in operating costs, the organisation said.

The year-on-year decline in capital costs over the past five years reflects the completion by most plants of efforts to prepare for operation beyond their initial 40-year licence. A few major items - a series of vessel head replacements; steam generator replacements and other upgrades as companies prepared for continued operation, and power uprates to increase output from existing plants - caused capital investment to increase to a peak in 2012. "As a result of these investments, 86 of the [USA's] 99 operating reactors in 2017 have received 20-year licence renewals and 92 of the operating reactors have been approved for uprates that have added over 7900 megawatts of electricity capacity. Capital spending on uprates and items necessary for operation beyond 40 years has moderated as most plants are completing these efforts," it says.

Since 2013, seven US nuclear reactors have shut down permanently, with the Three Mile Island debate highlighting wider policy questions, and another 12 have announced their permanent shutdown. The early closure for economic reasons of reliable nuclear plants with high capacity factors and relatively low generating costs will have long-term economic consequences, the report warns: replacement generating capacity, when needed, will produce more costly electricity, fewer jobs that will pay less, and, for net-zero emissions objectives, more pollution, it says.

NEI Vice President of Policy Development and Public Affairs John Kotek said the "hardworking men and women of the nuclear industry" had done an "amazing job" reducing costs through the institute's Delivering the Nuclear Promise campaign and other initiatives, in line with IAEA low-carbon lessons from the pandemic. "As we continue to face economic headwinds in markets which do not properly compensate nuclear plants, the industry has been doing its part to reduce costs to remain competitive," he said.

"Some things are in urgent need of change if we are to keep the nation's nuclear plants running and enjoy their contribution to a reliable, resilient and low-carbon grid. Namely, we need to put in place market reforms that fairly compensate nuclear similar to those already in place in New York, Illinois and other states," Kotek added.

Cost information in the study was collected by the Electric Utility Cost Group with prior years converted to 2017 dollars for accurate historical comparison.

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Ukraine Power Grid Attacks intensify as missile and drone strikes hit substations and power plants, causing blackouts, humanitarian crises, strained hospitals, and emergency repairs, with winter energy shortages and civilian infrastructure damage worsening nationwide.

Key Points

Strikes on energy infrastructure causing blackouts, service disruption, and heightened humanitarian risk in winter.

✅ Missile and drone strikes cripple plants, substations, and lines

✅ Blackouts disrupt water, heating, hospitals, and critical services

✅ Emergency repairs, generators, and aid mitigate winter shortages

Ukraine's energy infrastructure remains a primary target in Russia's ongoing invasion, with a recent wave of missile strikes causing power outages in western regions and disrupting critical services across the country. These attacks have devastating humanitarian consequences, leaving millions of Ukrainians without heat, water, and electricity as winter approaches.

Systematic Targeting of Energy Infrastructure

Russia's strategy of deliberately targeting Ukraine's power grid marks a significant escalation, directly affecting the lives of civilians. Power plants, substations, and transmission lines have been hit with missiles and drones, with the latest strikes in late April causing blackouts in cities across Ukraine, including the capital, Kyiv, as the country fights to keep the lights on amid relentless bombardment.

Humanitarian Catastrophe Looms

The damage to Ukraine's electrical system hinders essential services like water supply, sewage treatment, and heating. Hospitals and other critical facilities struggle to operate without reliable power. With winter around the corner, the ongoing attacks threaten a humanitarian catastrophe even as authorities outline plans to keep the lights on this winter for vulnerable communities.

Ukrainian Resolve Remains Unbroken

Despite the devastation, Ukrainian engineers and workers race against time to repair damaged infrastructure and restore power as quickly as possible, while communities adopt new energy solutions to overcome blackouts to maintain essential services. The nation's energy workers have been hailed as heroes for their tireless efforts to keep the lights on amidst relentless attacks. Officials have urged civilians to reduce energy consumption whenever possible to alleviate strain on the fragile grid.

International Condemnation and Support

The systematic attacks on Ukraine's power grid have been widely condemned by the international community.  Western nations have accused Russia of war crimes, highlighting the deliberate targeting of civilian infrastructure. Aid organizations and countries are coordinating efforts to provide emergency power supplies, including generators and transformers, to help Ukraine mitigate the immediate crisis, even as the U.S. ended support for grid restoration in a recent policy shift.

Implications Beyond Ukraine

The humanitarian crisis unfolding in Ukraine due to power grid attacks carries implications far beyond its borders. The disruption of energy supplies could lead to further instability in neighbouring countries dependent on Ukraine's power exports, although officials say electricity reserves are sufficient to prevent scheduled outages if attacks subside. Additionally, a surge in Ukrainian refugees fleeing the deteriorating conditions could put a strain on resources within the European Union.

War Crimes Allegations

International human rights organizations are documenting evidence of Russia's deliberate attacks on Ukraine's civilian infrastructure. Human Rights Watch (HRW) has stated that Russia's targeting of power stations could violate the laws of war and amount to war crimes. This documentation will be crucial for holding Russia accountable for its actions in the future.

Uncertain Future for Ukraine's Power Supply

The long-term consequences of Russia's sustained attacks on Ukraine's power grid remain uncertain. While Ukrainian workers demonstrate incredible resilience, the sheer scale of repeated damage may eventually overwhelm their ability to keep pace with repairs, and, as winter looms over the battlefront, electricity is civilization for frontline communities. Rebuilding destroyed infrastructure could take years and cost billions, a daunting task for a nation already ravaged by war.

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European Gas Prices hit pre-invasion lows as LNG inflows, EU storage gains, and softer oil markets ease the energy crisis, while recession risks, windfall taxes, and ExxonMobil's challenge shape demand and policy.

Key Points

European gas prices reflect supply, LNG inflows, storage, and policy, shaping energy costs for households and industry.

✅ Month-ahead hit €76.78/MWh, rebounding to €85.50/MWh.

✅ EU storage 83.2% filled; autumn peak exceeded 95%.

✅ Demand tempered by recession risks; LNG inflows offset Russian cuts.

European gas prices have dipped to a level last seen before Russia launched its invasion of Ukraine in February, after warmer weather across the continent eased concerns over shortages and as coal demand dropped across Europe during winter.

The month-ahead European gas future contract dropped as low as €76.78 per megawatt hour on Wednesday, the lowest level in 10 months, amid EU talks on gas price cap strategies that could shape markets, before closing higher at €83.70, according to Refinitiv, a data company.

The invasion roiled global energy markets, serving as a wake-up call to ditch fossil fuels for policymakers, and forced European countries, including industrial powerhouse Germany, to look for alternative suppliers to those funding the Kremlin. Europe had continued to rely on Russian gas even after its 2014 annexation of Crimea and support for separatists in eastern Ukraine.

On Tuesday 83.2% of EU gas storage was filled, data from industry body Gas Infrastructure Europe showed. The EU in May set a target of filling 80% of its gas storage capacity by the start of November to prepare for winter, and weighed emergency electricity measures to curb prices as needed. It hit that target in August, and by mid-November it had peaked at more than 95%.

Gas prices bounced further off the 10-month low on Thursday to reach €85.50 per megawatt hour.

Europe has several months of domestic heating demand ahead, and some industry bosses believe energy shortages could also be a problem next winter, with a worst energy nightmare still possible if supplies tighten. However, traders have also had to weigh the effects of recessions expected in several big European economies, which could dent energy demand.

UK gas prices have also dropped back from their highs earlier this year, and forecasts suggest UK energy bills to drop in April. The day-ahead gas price closed at 155p per therm on Wednesday, compared with 200p/therm at the start of 2022, and more than 500p/therm in August.

Europe’s response to the prospect of gas shortages also included campaigns to reduce energy use – a strategy belatedly adopted by the UK – and windfall taxes on energy companies to help raise revenues for governments, many of which have started expensive subsidies to cushion the impact of high energy prices for households and consumers. Energy companies have enjoyed huge profits at the expense of businesses and households this year, as EU inflation accelerated, but costs remained much the same.

However, the US oil company ExxonMobil on Wednesday launched a legal challenge against EU plans for a windfall tax on oil companies, according to filings by its German and Dutch subsidiaries at the European general court in Luxembourg. ExxonMobil argued that the windfall tax would be “counter-productive” because it said it would result in lower investment in fossil fuel extraction, and that the EU did not have the legal jurisdiction to impose it.

ExxonMobil’s move has prompted anger among European politicians. A message posted on the Twitter account of Paolo Gentiloni, the EU’s commissioner for the economy, on Thursday stated: “Fairness and solidarity, even for corporate giants. #Exxon.”

Oil prices are significantly lower than they were before the start of Russia’s invasion, and only marginally above where they were at the start of 2022. Brent crude oil futures traded at $100 a barrel on 28 February, but were at $81.84 on Thursday.

Oil prices dropped by 1.7% on Thursday. Prices had risen from 12-month lows in early December as traders hoped for increased demand from China after it relaxed its coronavirus restrictions. However, Covid-19 infection numbers are thought to have surged in the country, prompting the US to require travellers from China to show a negative test for the disease and tempering expectations for a rapid increase in oil demand.

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