California approves Think Tank on global warming

Ermineskin First Nation Solar Project delivers a 1 MW distributed generation array with 3,500 panels, selling power to Alberta's grid, driving renewable energy revenue, jobs, and regional economic development with partner SkyFire Energy.

Key Points

A 1 MW, 3,500-panel distributed generation plant selling power to Alberta's grid to support revenue and jobs.

✅ 1 MW array, 3,500 panels; grid-tied distributed generation

✅ Annual revenue projected at $80k-$150k, scalable

✅ Built with SkyFire Energy; expansion planned next summer

The switch will soon be flipped on a solar energy project that will generate tens of thousands of dollars for Ermineskin First Nation, while energizing economic development across Alberta, where selling renewables is emerging as a promising opportunity.

Built on six acres, the one-megawatt generator and its 3,500 solar panels will produce power to be sold into the province’s electrical grid, providing annual revenues for the band of $80,000 to $150,000, depending on energy demand and pricing.

The project cost $2.7 million, including connection costs and background studies, said Sam Minde, chief executive officer of the band-owned Neyaskweyahk Group of Companies Inc.

It was paid for with grants from the Western Economic Diversification Fund and the province’s Climate Leadership Plan, and, amid Ottawa’s green electricity contracting push, is expected to be connected to the grid by mid-December.

“It’s going to be the biggest distributed generation in Alberta,” he said.

Called the Sundancer generator, it was built and will be operated through a partnership with SkyFire Energy, reflecting how renewable power developers design better projects by combining diverse resources.

Minde said the project’s benefits extend beyond Ermineskin First Nation, one of four First Nations at Maskwacis, 20 km north of Ponoka, in a province where renewable energy surge could power thousands of jobs.

“Our nation is looking to do the best it can in business. It’s competitive, but at the same time, what is good for us is good for the region.

“If we’re creating jobs, we’re going to be building up our economy. And if you look at our region right now, we need to continue to create opportunities and jobs.”

Electricity prices are rock bottom right now, in the six to nine cents per kilowatt hour range, with recent Alberta solar contracts coming in below natural gas on cost. During the oilsands boom, when power demand was skyrocketing, the price was in the 16 to 18 cent range.

That means there is a lot of room for bigger returns for Ermineskin in the future, especially if pipelines such as TransMountain get going or the oilsands pick up again, and as Alberta solar growth accelerates in the years ahead.

The band is so confident that Sundancer will prove a success that there are plans to double it in size, a strategy echoed by community-scale efforts such as the Summerside solar project that demonstrate scalability. By next summer, a $1.5-million to $1.7-million project funded by the band will be built on another six acres nearby.

Minde said the project is an example of the community’s connection with the environment being used to create opportunities and embracing technologies that will likely figure large in the world’s energy future.

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Ukraine Electricity Exports resume to the European grid, starting with Moldova and expanding to Poland, Slovakia, and Romania, signaling energy security, grid resilience, added megawatts, and recovery after Russian strikes with support and renewables.

Key Points

Ukraine Electricity Exports are resumed sales of surplus power to EU neighbors, reflecting grid recovery and resilience.

✅ Initial deliveries to Moldova; Poland, Slovakia, Romania to follow.

✅ Extra capacity from repairs, warmer demand, and renewables.

✅ Exports may vary amid ongoing Russian strikes risk.

Ukraine began resuming electricity exports to European countries on Tuesday, its energy minister said, a dramatic turnaround from six months ago when fierce Russian bombardment of power stations plunged much of the country into darkness in a bid to demoralize the population.

The announcement by Energy Minister Herman Halushchenko that Ukraine was not only meeting domestic consumption demands but also ready to restart exports to its neighbors was a clear message that Moscow’s attempt to weaken Ukraine by targeting its infrastructure did not work.

Ukraine’s domestic energy demand is “100%” supplied, he told The Associated Press in an interview, and it has reserves to export due to the “titanic work” of its engineers and international partners.

Russia ramped up infrastructure attacks in September, when waves of missiles and exploding drones destroyed about half of Ukraine’s energy system. Power cuts were common across the country as temperatures dropped below freezing and tens of millions struggled to keep warm.

Moscow said the strikes were aimed at weakening Ukraine’s ability to defend itself, and has also moved to reactivate the Zaporizhzhia plant through new power lines, while Western officials said the blackouts that caused civilians to suffer amounted to war crimes. Ukrainians said the timing was designed to destroy their morale as the war marked its first anniversary.

Ukraine had to stop exporting electricity in October to meet domestic needs.

Engineers worked around the clock, often risking their lives to come into work at power plants and keep the electricity flowing. Kyiv’s allies also provided help. In December, U.S. Secretary of State Antony Blinken announced $53 million in bilateral aid to help the country acquire electricity grid equipment, and USAID mobile gas turbine plant support, on top of $55 million for energy sector support.

Much more work remains to be done, Halushchenko said. Ukraine needs funding to repair damaged generation and transmission lines, and revenue from electricity exports would be one way to do that.

The first country to receive Ukraine’s energy exports will be Moldova, he said.

Besides the heroic work by engineers and Western aid, warmer temperatures are enabling the resumption of exports by making domestic demand lower, even as Germany’s coal generation shapes regional power flows.

Renewables like solar and wind power also come into play as temperatures rise, taking some pressure off nuclear and coal-fired power plants.

But it’s unclear if Ukraine can keep up exports amid the constant threat of Russian bombardment, with any potential agreement on power plant attacks still uncertain.

“Unfortunately now a lot of things depend on the war,” Halushchenko said. “I would say we feel quite confident now until the next winter.”

Exports to Poland, Slovakia and Romania are also on schedule to resume, he said.

“Today we are starting with Moldova, and we are talking about Poland, we are talking about Slovakia and Romania,” Halushchenko added, noting that how much will depend on their needs.

“For Poland, we have only one line that allows us to export 200 megawatts, but I think this month we will finish another line which will increase this to an additional 400 MW, so these figures could change,” he said.

Export revenue will depend on fluctuating electricity prices in Europe, where stunted hydro and nuclear output may affect recovery. In 2022, while Ukraine was still able to export energy, Ukrainian companies averaged 40 million to 70 million euros a month depending on prices, Halushchenko said.
 

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Germany Industrial Electricity Price Subsidy weighs subsidies for energy-intensive industries to bolster competitiveness as Germany shifts to renewables, expands grid capacity, and debates free-market tax cuts versus targeted relief and long-term policies.

Key Points

Policy to subsidize power for energy-intensive industry, preserving competitiveness during the energy transition.

✅ SPD backs 5-7 cents per kWh for 10-15 years

✅ FDP prefers tax cuts and free-market pricing

✅ Scholz urges cheap renewables and grid expansion first

Germany’s three-party coalition is debating whether electricity prices for energy-intensive industries should be subsidised in a market where rolling back European electricity prices can be tougher than it appears, to prevent companies from moving production abroad.

Calls to reduce the electricity bill for big industrial producers are being made by leading politicians, who, like others in Germany, fear the country could lose its position as an industrial powerhouse as it gradually shifts away from fossil fuel-based production, amid historic low energy demand and economic stagnation concerns.

“It is in the interest of all of us that this strong industry, which we undoubtedly have in Germany, is preserved,” Lars Klingbeil, head of Germany’s leading government party SPD (S&D), told Bayrischer Rundfunk on Wednesday.

To achieve this, Klingbeil is advocating a reduced electricity price for the industry of about 5 to 7 cents per Kilowatt hour, which the federal government would subsidise. This should be introduced within the next year and last for about 10 to 15 years, he said.

Under the current support scheme, which was financed as part of the €200 billion “rescue shield” against the energy crisis, energy-intensive industries already pay 13 cents per Kilowatt hour (KWh) for 70% of their previous electricity needs, which is substantially lower than the 30 to 40 cents per KWh that private consumers pay.

“We see that the Americans, for example, are spending $450 billion on the Inflation Reduction Act, and we see what China is doing in terms of economic policy,” Klingbeil said.

“If we find out in 10 years that we have let all the large industrial companies slip away because the investments are not being made here in Germany or Europe, and jobs and prosperity and growth are being lost here, then we will lose as a country,” he added.

However, not everyone in the German coalition favours subsidising electricity prices.

Finance Minister Christian Lindner of the liberal FDP (Renew), for example, has argued against such a step, instead promoting free-market principles and, amid rising household energy costs, reducing taxes on electricity for all.

“Privileging industrial companies would only be feasible at the expense of other electricity consumers and taxpayers, for example, private households or the small trade sector,” Lindner wrote in an op-ed for Handelsblatt on Tuesday.

“Increasing competitiveness for some would mean a loss of competitiveness for others,” he added.

Chancellor Olaf Scholz, himself a member of SPD, was more careful with his words, amid ongoing EU electricity reform debates in Brussels.

Asked about a subsidised electricity price for the industry at a town hall event on Monday, Scholz said he does not “want to make any promises now”.

“First of all, we have to make sure that we have cheap electricity in Germany in the first place,” Scholz said, promoting the expansion of renewable energy such as wind and solar, as local utilities cry for help, as well as more electricity grid infrastructure.

“What we will not be able to do as an economy, even as France’s new electricity pricing scheme advances, is to subsidise everything that takes place in normal economic activity,” Scholz said. “We should not get into the habit of doing that,” he added.

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Texas Power Grid Crisis strains ERCOT as extreme cold, ice storms, and heavy snow trigger rolling blackouts, load shedding, and boil-water notices, leaving millions without electricity while frozen turbines and low gas pressure hinder generation.

Key Points

A statewide emergency of outages and boil-water notices as ERCOT battles extreme cold and load shedding.

✅ Millions without power; ERCOT orders load shedding

✅ Boil-water notices in Austin, Houston, Fort Worth

✅ Frozen equipment, low gas pressure, extreme cold disrupt supply

Nearly 3 million homes and businesses in Texas remain without power, some for a third consecutive day, as severe winter weather continues to pummel the state, forcing some localities to issue boil-water notices and urge residents to reduce their electricity usage.

Heavy snowfall, ice storms and bitter temperatures continue to put an enormous strain on the state's power grid. This as the Electric Reliability Council of Texas (ERCOT), which manages roughly 75% of the Texas power grid, announced Wednesday morning that some 600,000 households had power restored overnight.

That still left another 2.7 million customers having to endure extreme cold with no indication of when the thaw would break in their homes.

"We know millions of people are suffering," ERCOT's president and CEO, Bill Magness, said in a statement Wednesday. "We have no other priority than getting them electricity. No other priority."

ERCOT also said Wednesday that it was urging local utilities to shed some 14,000 megawatts of load, which translates to roughly 2.8 million customers, to prepare for a sudden increase in demand.

"The ability to restore more power is contingent on more generation coming back online," said Dan Woodfin, the senior director of ERCOT's system operations, and utility supply-chain constraints can further complicate repair timelines for some utilities.

He said that about 185 generating units were offline, stemming from a range of factors including frozen wind turbines, low gas pressure and frozen instrumentation.

But many Texans feel abandoned by the council and power companies and they are lashing out at the local face of utilities.

The City of Austin's community-owned electric utility, Austin Energy, issued a tweet saying crews that are working to restore power are facing harassment.

"Our crews have been working 24/7 and in these elements," Austin Energy announced. "Some of our crews are reporting incidents of harassment, threatening them and even throwing things at them."

Officials pleaded with the public to remain calm. "I know people are extremely frustrated. But please, I bet of you, do not approach AE crews."

Parts of Austin are under a boil water notice, which Austin Water Director Greg Meszaros attempted to explain during a press briefing Wednesday afternoon.

"There was a large main break in that area, maybe multiple ones. We're seeing main breaks and pipes bursting by the tens of thousands. Our entire system is under stress," Meszaros said.

It's not just the Lone Star State that is being crippled by the arctic blast, with a deep freeze slamming the energy sector across the country.

At least two dozen people have died this week from weather-related incidents, according to The Associated Press.

The National Weather Service reports that more than 100 million Americans are being affected by extreme winter weather from the south central U.S. to the East Coast, including Arkansas, Louisiana, Mississippi, North Carolina, Virginia and West Virginia, and analysts warn of blackout risks nationwide during extreme heat as well.

The National Weather Service adds that cold temperatures over the nation's heartland will begin to "moderate in the coming days" but that many parts will remain 20 to 35 degrees below normal in the Great Plains, Mississippi Valley and lower Great Lakes region.

"Potential is increasing for significant icing across portions of the Mid-Atlantic, which will be very impactful, especially for those hardest hit from the previous ice storm," the National Weather Service tweeted Wednesday.

Texas Gov. Greg Abbott railed against ERCOT, and Elon Musk criticized the agency as unreliable, saying the utility "has been anything but reliable over the past 48 hours."

"This is unacceptable," Abbott added, as residents were facing rotating intentional power outages. The governor issued an executive order that will add reforms for how the power grid is managed, including grid reliability improvements under discussion, as an emergency legislative item for the state legislature to review.

The rolling power outages forced Fort Worth to extend a boil-water notice for roughly 212,000 residents. Officials said the outages affected the city's systems that both treat water and move it to customers.

Fort Worth officials said nine other localities that purchase water from the city are also affected, including Haslet, Keller, Lake Worth and Northlake.

Officials in Houston also issued a boil-water notice for the city's residents Wednesday.

"Do not drink the water without boiling it first," Houston Public Works said from its official Twitter account. "Bring all water to a boil for at least two minutes. Let it cool before using."

In Harris County, which includes Houston, Judge Lina Hidalgo warned residents about extended power outages.

"Let me give it to you straight, based on the visibility I have: Whether you have power or not right now, there is a possibility of power outages even beyond the length of this weather," Hidalgo said, according to Houston Public Media.

The NPR member station adds that county officials have also reported more than 300 cases of carbon monoxide poisoning since Monday as residents going without electricity search desperately for alternative sources of warmth.

"In no uncertain terms, this is a public health disaster and a public health emergency," Samuel Prater, an emergency physician at Memorial Hermann-Texas Medical Center, said at a news briefing Tuesday.

Prater warned residents that over the last 24 hours, emergency officials "have seen a striking increase in the number of cases related to improper heating sources," including indoor use of generators, charcoal grills, campfire stoves and other devices that are being used to warm homes. The result, he added, is carbon monoxide poisoning of entire families.

"If you think you or a loved one has become ill from carbon monoxide poisoning, first thing you need to do is get outside to fresh air," Prater said.

A woman and an 8-year-old girl are among those who have reportedly died from carbon monoxide poisoning after a vehicle was left running inside a garage in an attempt to generate heat, according to Houston's ABC affiliate.

As Texas endures further weather-related issues, including road and highway closures, there's a renewed focus on how the Texas power grid has failed, and why the grid is facing another crisis amid this prolonged cold.

The Texas electrical grid is "facing conditions that it was not designed for," said Emily Grubert, a professor at Georgia Tech whose expertise includes electric networks.

"These are really extreme conditions for the Texas grid. It's very cold. It's cold across the entire state, and it's cold for a long time. This does not happen very often," she said in an interview with NPR's Morning Edition.

"Demand really spiked both in the electricity and the natural gas systems at the same time as a lot of the generators were not able to operate because of those cold conditions, and not being prepared for it is really what's going on," Grubert said. "But a lot of grids are susceptible to really, really major failures when they are this far outside of design conditions."

Abbott told Fox News on Tuesday that with weather-related shutdowns in wind and solar energy, which account for more than 10% of the state's grid, renewable energy is partly to blame for the Texas power crisis, even as he later touted the grid's readiness heading into the fall.

"It just shows that fossil fuel is necessary for the state of Texas as well as other states to make sure that we'll be able to heat our homes in the wintertime and cool our homes in the summertime," Abbott said.

But Grubert said that "coal, gas and nuclear actually shut down because of the extreme cold due to things like instruments freezing, et cetera. So I think the overall point here is all of the fuels were really, really struggling."

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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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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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