Greenhouse gases up 90 per cent from coal stations

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

Key Points

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

✅ Pandemic-driven demand shifts strain grid operations and markets

✅ Policy momentum risks rollback; favor future-oriented decarbonization

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

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

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

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

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

Lobbying

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

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

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

Covid-19 in the U.K.

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

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

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

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

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

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

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

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

Modeling

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

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

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

Rural power

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

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

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

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Waste-to-Graphene uses flash joule heating to convert carbon-rich trash into turbostratic graphene for composites, asphalt, concrete, and flexible electronics, delivering scalable, low-cost, high-quality material from food scraps, plastics, and tires with minimal processing.

Key Points

A flash heating method converting waste carbon into turbostratic graphene for scalable, low-cost industrial uses.

✅ Converts food scraps, plastics, and tires into graphene

✅ Produces turbostratic flakes that disperse well in composites

✅ Scalable, low-cost process via flash joule heating

Science doesn’t usually take after fairy tales. But Rumpelstiltskin, the magical imp who spun straw into gold, would be impressed with the latest chemical wizardry. Researchers at Rice University report today in Nature that they can zap virtually any source of solid carbon, from food scraps to old car tires, and turn it into graphene—sheets of carbon atoms prized for applications ranging from high-strength plastic to flexible electronics, and debates over 5G electricity use continue to evolve. Current techniques yield tiny quantities of picture-perfect graphene or up to tons of less prized graphene chunks; the new method already produces grams per day of near-pristine graphene in the lab, and researchers are now scaling it up to kilograms per day.

“This work is pioneering from a scientific and practical standpoint” as it promises to make graphene cheap enough to use to strengthen asphalt or paint, says Ray Baughman, a chemist at the University of Texas, Dallas. “I wish I had thought of it.” The researchers have already founded a new startup company, Universal Matter, to commercialize their waste-to-graphene process, while others are digitizing the electrical system to modernize infrastructure.

With atom-thin sheets of carbon atoms arranged like chicken wire, graphene is stronger than steel, conducts electricity and heat better than copper, and can serve as an impermeable barrier preventing metals from rusting, while advances such as superconducting cables aim to cut grid losses. But since its 2004 discovery, high-quality graphene—either single sheets or just a few stacked layers—has remained expensive to make and purify on an industrial scale. That’s not a problem for making diminutive devices such as high-speed transistors and efficient light-emitting diodes. But current techniques, which make graphene by depositing it from a vapor, are too costly for many high-volume applications. And higher throughput approaches, such as peeling graphene from chunks of the mineral graphite, produce flecks composed of up to 50 graphene layers that are not ideal for most applications.

Graphene comes in many forms. Single sheets, which are ideal for electronics and optics, can be grown using a method called chemical vapor deposition. But it produces only tiny amounts. For large volumes, companies commonly use a technique called liquid exfoliation. They start with chunks of graphite, which is just myriad stacked graphene layers. Then they use acids and solvents, as well as mechanical grinding, to shear off flakes. This approach typically produces tiny platelets each made up of 20 to 50 layers of graphene.

In 2014, James Tour, a chemist at Rice, and his colleagues found they could make a pure form of graphene—each piece just a few layers thick—by zapping a form of amorphous carbon called carbon black with a laser. Brief pulses heated the carbon to more than 3000 kelvins, snapping the bonds between carbon atoms; for comparison, researchers have also generated electricity from falling snow using triboelectric effects. As the cloud of carbon cooled, it coalesced into the most stable structure possible, graphene. But the approach still produced only tiny qualities and required a lot of energy.

Two years ago, Luong Xuan Duy, one of Tour’s graduate students, read that other researchers had created metal nanoparticles by zapping a material with electricity, creating the same brief blast of heat behind the success of the laser graphene approach. “I wondered if I could use that to heat a carbon source and produce graphene,” Duy says. So, he put a dash of carbon black in a clear glass vial and zapped it with 400 volts, similar in spirit to electrical weed zapping approaches in agriculture, for about 200 milliseconds. Initially he got junk. But after a bit of tweaking, he managed to create a bright yellowish white flash, indicating the temperature inside the vial was reaching about 3000 kelvins. Chemical tests revealed he had produced graphene.

It turned out to be a type of graphene that is ideal for bulk uses. As the carbon atoms condense to form graphene, they don’t have time to stack in a regular pattern, as they do in graphite. The result is a material known as turbostatic graphene, with graphene layers jumbled at all angles atop one another. “That’s a good thing,” Duy says. When added to water or other solvents, turbostatic graphene remains suspended instead of clumping up, allowing each fleck of the material to interact with whatever composite it’s added to.

“This will make it a very good material for applications,” says Monica Craciun, a materials physicist at the University of Exeter. In 2018, she and her colleagues reported that adding graphene to concrete more than doubled its compressive strength. Tour’s team saw much the same result. When they added just 0.05% by weight of their flash-produced graphene to concrete, the compressive strength rose 25%; graphene added to polydimethylsiloxane, a common plastic, boosted its strength by 250%.

As digital control spreads across energy networks, research to counter ransomware-driven blackouts is increasingly important for grid resilience.

Those results could reignite efforts to use graphene in a wide range of composites. Researchers in Italy reported recently that adding graphene to asphalt dramatically reduces its tendency to fracture and more than doubles its life span. Last year, Iterchimica, an Italian company, began to test a 250-meter stretch of road in Milan paved with graphene-spiked asphalt. Tests elsewhere have shown that adding graphene to paint dramatically improves corrosion resistance.

These applications would require high-quality graphene by the ton. Fortunately, the starting point for flash graphene could hardly be cheaper or more abundant: Virtually any organic matter, including coffee grounds, food scraps, old tires, and plastic bottles, can be vaporized to make the material. “We’re turning garbage into graphene,” Duy says.

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EV Grid Capacity Management shows how smart charging, load balancing, and off-peak pricing align with utility demand response, DC fast charging networks, and renewable integration to keep national electricity infrastructure reliable as EV adoption scales

Key Points

EV Grid Capacity Management schedules charging and balances load to keep EV demand within utility capacity.

✅ Off-peak pricing and time-of-use tariffs shift charging demand.

✅ Smart chargers enable demand response and local load balancing.

✅ Gradual EV adoption allows utilities to plan upgrades efficiently.

One of the most frequent concerns you will see from electric vehicle haters is that the electricity grid can’t possibly cope with all cars becoming EVs, or that EVs will crash the grid entirely. However, they haven’t done the math properly. The grids in most developed nations will be just fine, so long as the demand is properly management. Here’s how.

The biggest mistake the social media keyboard warriors make is the very strange assumption that all cars could be charging at once. In the UK, there are currently 32,697,408 cars according to the UK Department of Transport. The UK national grid had a capacity of 75.8GW in 2020. If all the cars in the UK were EVs and charging at the same time at 7kW (the typical home charger rate), they would need 229GW – three times the UK grid capacity. If they were all charging at 50kW (a common public DC charger rate), they would need 1.6TW – 21.5 times the UK grid capacity. That sounds unworkable, and this is usually the kind of thinking behind those who claim the UK grid can't cope with EVs.

What they don’t seem to realize is that the chances of every single car charging all at once are infinitesimally low. Their arguments seem to assume that nobody ever drives their car, and just charges it all the time. If you look at averages, the absurdity of this position becomes particularly clear. The distance each UK car travels per year has been slowly dropping, and was 7,400 miles on average in 2019, again according to the UK Department of Transport. An EV will do somewhere between 2.5 and 4.5 miles per kWh on average, so let’s go in the middle and say 3.5 miles. In other words, each car will consume an average of 2,114kWh per year. Multiply that by the number of cars, and you get 69.1TWh. But the UK national grid produced 323TWh of power in 2019, so that is only 21.4% of the energy it produced for the year. Before you argue that’s still a problem, the UK grid produced 402TWh in 2005, which is more than the 2019 figure plus charging all the EVs in the UK put together. The capacity is there, and energy storage can help manage EV-driven peaks as well.

Let’s do the same calculation for the USA, where an EV boom is about to begin and planning matters. In 2020, there were 286.9 million cars registered in America. In 2020, while the US grid had 1,117.5TW of utility electricity capacity and 27.7GW of solar, according to the US Energy Information Administration. If all the cars were EVs charging at 7kW, they would need 2,008.3TW – nearly twice the grid capacity. If they charged at 50kW, they would need 14,345TW – 12.8 times the capacity.

However, in 2020, the US grid generated 4,007TWh of electricity. Americans drive further on average than Brits – 13,500 miles per year, according to the US Department of Transport’s Federal Highway Administration. That means an American car, if it were an EV, would need 3,857kWh per year, assuming the average efficiency figures above. If all US cars were EVs, they would need a total of 1,106.6TWh, which is 27.6% of what the American grid produced in 2020. US electricity consumption hasn’t shrunk in the same way since 2005 as it has in the UK, but it is clearly not unfeasible for all American cars to be EVs. The US grid could cope too, even as state power grids face challenges during the transition.

After all, the transition to electric isn’t going to happen overnight. The sales of EVs are growing fast, with for example more plug-ins sold in the UK in 2021 so far than the whole of the previous decade (2010-19) put together. Battery-electric vehicles are closing in on 10% of the market in the UK, and they were already 77.5% of new cars sold in Norway in September 2021. But that is new cars, leaving the vast majority of cars on the road fossil fuel powered. A gradual introduction is essential, too, because an overnight switchover would require a massive ramp up in charge point installation, particularly devices for people who don’t have the luxury of home charging. This will require considerable investment, but could be served by lots of chargers on street lamps, which allegedly only cost £1,000 ($1,300) each to install, usually with no need for extra wiring.

This would be a perfectly viable way to provide charging for most people. For example, as I write this article, my own EV is attached to a lamppost down the street from my house. It is receiving 5.5kW costing 24p (32 cents) per kWh through SimpleSocket, a service run by Ubitricity (now owned by Shell) and installed by my local London council, Barnet. I plugged in at 11am and by 7.30pm, my car (which was on about 28% when I started) will have around 275 miles of range – enough for a couple more weeks. It will have cost me around £12 ($16) – way less than a tank of fossil fuel. It was a super-easy process involving the scanning of a QR code and entering of a credit card, very similar to many parking systems nowadays. If most lampposts had one of these charging plugs, not having off-street parking would be no problem at all for owning an EV.

With most EVs having a range of at least 200 miles these days, and the average mileage per day being 20 miles in the UK (the 7,400-mile annual figure divided by 365 days) or 37 miles in the USA, EVs won’t need charging more than once a week or even every week or two. On average, therefore, the grids in most developed nations will be fine. The important consideration is to balance the load, because if too many EVs are charging at once, there could be a problem, and some regions like California are looking to EVs for grid stability as part of the solution. This will be a matter of incentivizing charging during off-peak times such as at night, or making peak charging more expensive. It might also be necessary to have the option to reduce charging power rates locally, while providing the ability to prioritize where necessary – such as emergency services workers. But the problem is one of logistics, not impossibility.

There will be grids around the world that are not in such a good place for an EV revolution, at least not yet, and some critics argue that policies like Canada's 2035 EV mandate are unrealistic. But to argue that widespread EV adoption will be an insurmountable catastrophe for electricity supply in developed nations is just plain wrong. So long as the supply is managed correctly to make use of spare capacity when it’s available as much as possible, the grids will cope just fine.

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Ukraine Electricity Market Price Caps empower the regulator, the National Commission, to set marginal prices on day-ahead, intraday, and balancing markets, stabilize competition, support thermal plants, and sustain the heating season via green tariff obligations.

Key Points

Regulatory limits set by the National Commission to curb price spikes, ensure competition, and secure heat supply.

✅ Sets marginal prices for day-ahead, intraday, balancing markets

✅ Mitigates collusion risks; promotes effective competition

✅ Ensures TPP operation and heat supply during heating season

The Verkhovna Rada, Ukraine's parliament, has adopted at first reading a draft law that proposes giving the National Commission for State Regulation of Energy and Public Utilities the right to set marginal prices in the electricity market, amid EU market revamp plans that aim to reshape pricing, until 2023.

A total of 259 MPs voted for the document at a parliament meeting on Tuesday, November 12, amid electricity import pressures that have tested the grid, according to an Ukrinform correspondent.

Bill No. 2233 introducing amendments to the law on the electricity market provides for the legislative regulation of the mechanism for fulfilling special obligations for the purchase of electricity at a "green" tariff, preventing the uncontrolled growth of electricity prices due to the lack of effective competition, including recent price-fixing allegations that have raised concerns, ensuring heat supply to consumers during the heating period by regulating the issue of the functioning of thermal power plants in the new electricity market.

It is proposed to introduce respective amendments to the law of Ukraine on the electricity market, alongside steps toward synchronization with ENTSO-E to enhance system stability.

In particular, the draft law gives the regulator the right for the period until July 1, 2023 to set marginal prices on the day-ahead market, the intraday market and the balancing market for each trade zone, reflecting similar EU fixed-price contract initiatives being discussed, and to decide on the obligation for producers to submit proposals (applications) for the sale of electricity on the day-ahead market.

Lawmakers think that the adoption of the bill and empowering the regulator to set marginal prices in the relevant segments of the electricity market will prevent, even as rolling back prices in Europe remains difficult for policymakers, "an uncontrolled increase in electricity prices due to the lack of effective competition or collusion between market players, as well as regulate the issue of the functioning of thermal power plants during the autumn and winter period, which is a necessary prerequisite for providing heat to consumers during the heating period."

The new model of the electricity market was launched on July 1 as the UK weighs decoupling gas and power prices to shield consumers, in accordance with the provisions of the law on the electricity market, adopted in 2017.

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Hydro One investment risk reflects Ontario government influence, board shakeup, Avista acquisition uncertainty, regulatory hearings, dividend growth prospects, and utility M&A moves in Peterborough, with stock volatility since the 2015 IPO.

Key Points

Hydro One investment risk stems from political control, governance turnover, regulatory outcomes, and uncertain M&A.

✅ Ontario retains near-50% stake, affecting autonomy and policy risk

✅ Board overhaul and CEO exit create governance uncertainty

✅ Avista deal, OEB hearings, local utility M&A drive outcomes

Hydro One may be only half-owned by the province on Ontario but that’s enough to cause uncertainty about the company’s future, thus making for an investment risk, says Douglas Kee of Leon Frazer & Associates.

Since its IPO in November of 2015, Hydro One has seen its share of ups and downs, including a Q2 profit decline earlier this year, mostly downs at this point. Currently trading at $19.87, the stock has lost 11 per cent of its value in 2018 and 12 per cent over the last 12 months, despite a one-time gain boosting Q2 profit that followed a court ruling.

This year has been a turbulent one, to say the least, as newly elected Ontario premier Doug Ford made good this summer on his campaign promise re Hydro One by forcing the resignation of the company’s 14-person board of directors along with the retirement of its chief executive, an event that saw Hydro One shares fall amid the turmoil. An interim CEO has been found and a new 10-person board and chairman put in place, but Kee says it’s unclear what impact the shakeup will ultimately have, other than delaying a promising-looking deal to purchase US utility Avista Corp, with the companies moving to ask the U.S. regulator to reconsider the order.

Douglas Kee’s take on Hydro One stock

“We looked at Hydro One a couple of times two years ago and just decided that with the Ontario government’s still owning a big chunk of the company … there are other public companies where you get the same kind of yield, the same kind of dividend growth, so we just avoided it,” says Kee, managing director and chief investment officer with Leon Frazer & Associates, to BNN Bloomberg.

“The old board versus the new board, I’m not sure that there’s much of an improvement. It was politics more than anything,” he says. “The unfortunate part is that the acquisition they were making in the United States is kind of on hold for now. The regulatory procedures have gone ahead but they are worried, and I guess the new board has to make a decision whether to go ahead with it or not.”

“Their transmissions side is coming up for regulatory hearings next year, which could be difficult in Ontario,” says Kee. “The offset to that is that there are a lot of municipal distributions systems in Ontario that may be sold — they bought one in Peterborough recently, which was a good deal for them. There may be more of that coming too.”

Last month, Hydro One reached an agreement with the City of Peterborough to buy its Peterborough Distribution utility which serves about 37,000 customers for $105 million. Another deal to purchase Orillia Power Distribution Corp for $41 million has been cancelled after an appeal to the Ontario Energy Board was denied in late August. Hydro One’s sought-after Avista Corp acquisition is reported to be worth $7 billion.

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PG&E Camp Fire Guilty Plea underscores involuntary manslaughter charges as the utility admits sparking Paradise's wildfire; Butte County prosecution, CAL FIRE findings, bankruptcy oversight, victim compensation trust, and safety reforms shape accountability.

Key Points

The legal admission by PG&E to 84 involuntary manslaughter counts and unlawfully starting the 2018 Camp Fire.

✅ 84 involuntary manslaughter counts; unlawful ignition admitted.

✅ $3,486,950 fine, $500,000 DA costs; no prison terms.

✅ $13.5B victim trust, Paradise and Butte County payments.

California utility Pacific Gas and Electric Company pleaded guilty Tuesday to 84 counts of involuntary manslaughter and one count of unlawfully starting the Camp Fire, the deadliest blaze in the state's history.

Butte County District Attorney Michael L. Ramsey said the "historic moment" should be a signal that corporations will be held responsible for "recklessly endangering" lives.
The 84 people "did not need to die," Ramsey said. He said the deaths were "of the most unimaginable horror, being burned to death."

Before sentencing, survivors will testify Wednesday about the losses of their loved ones, and many have pursued lawsuits against the utility seeking accountability.

No individuals will be sent to prison, Ramsey said.

"This is the first time that PG&E or any major utility has been charged with homicide as the result of a reckless fire. It killed a town," Ramsey said, referring to Paradise, which was annihilated by the blaze.
According to court documents filed in March, the company will be fined "no more than $3,486,950," and it must reimburse the Butte County District Attorney's Office $500,000 for the costs of its investigation into the blaze, and under separate oversight a federal judge ordered dividends to be directed to wildfire risk reduction to prioritize safety.

Among other provisions, PG&E must establish a trust, compensating victims of the 2018 Camp Fire and other wildfires to the tune of $13.5 billion as part of its bankruptcy plan, according to the plea agreement included in a regulatory filing.
It has to pay hundreds of millions to the town of Paradise and Butte County and cooperate with prosecutors' investigation, the plea deal says.
PG&E also waived its right to appeal.

"I have heard the pain and the anguish of victims as they've described the loss they continue to endure, and the wounds that can't be healed," PG&E Corporation CEO and President Bill Johnson said after the plea. "No words from me could ever reduce the magnitude of such devastation or do anything to repair the damage. But I hope that the actions we are taking here today will help bring some measure of peace, including aid through a Wildfire Assistance Program the company announced."

Johnson was in court Tuesday, where Butte County Superior Court Judge Michael Deems read the names of each victim as their photos were shown on a screen, CNN affiliate KTLA reported.
Johnson said the utility would never put profits ahead of safety again. He told the judge that PG&E took responsibility for the devastation "with eyes wide open to what happened and to what must never happen again," KTLA reported.

In March, the utility and the state agreed to bankruptcy terms, which included an overhaul of PG&E's board selection process, financial structure and oversight, with rates expected to stabilize in 2025 as reforms take hold.
According to investigators with the California Department of Forestry and Fire Protection, PG&E was responsible for the devastating Camp Fire.

Electrical lines owned and operated by PG&E started the fire November 8, 2018, CAL Fire said in a news release, after the company acknowledged its power lines may have started two fires that day.

"The tinder dry vegetation and Red Flag conditions consisting of strong winds, low humidity and warm temperatures promoted this fire and caused extreme rates of spread," CAL Fire said.
PG&E had previously said it was "probable" that its equipment started the Camp Fire but that it wasn't conclusive whether its lines ignited a second fire, as CAL Fire alleged.
The power company filed for bankruptcy in January 2019 as it came under pressure from billions of dollars in claims tied to deadly wildfires, and other utilities such as Southern California Edison have faced similar lawsuits.

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