EU emissions down 2.6 percent as recession continues

Ontario Global Adjustment Charge faces constitutional scrutiny as a regulatory charge vs tax; Court of Appeal revives case over electricity pricing, feed-in tariff contracts, IESO policy, and hydro rate impacts on consumers and industry.

Key Points

A provincial electricity fee funding generator contracts, now central to a court fight over tax versus regulatory charge.

✅ Funds gap between market price and contracted generator rates

✅ At issue: regulatory charge vs tax under constitutional law

✅ Linked to feed-in tariff, IESO policy, and hydro rate hikes

Ontario’s court of appeal has decided that a constitutional challenge of a steep provincial electricity charge should get its day in court, overturning a lower-court judgment that had dismissed the legal bid.

Hamilton, Ont.-based National Steel Car Ltd. launched the challenge in 2017, saying Ontario’s so-called global adjustment charge was unconstitutional because it is a tax — not a valid regulatory charge — that was not passed by the legislature.

The global adjustment funds the difference between the province’s hourly electricity price and the price guaranteed under contracts to power generators. It is “the component that covers the cost of building new electricity infrastructure in the province, maintaining existing resources, as well as providing conservation and demand management programs,” the province’s Independent Electricity System Operator says.

However, the global adjustment now makes up most of the commodity portion of a household electricity bill, and its costs have ballooned, as regulators elsewhere consider a proposed 14% rate hike in Nova Scotia.

Ontario’s auditor general said in 2015 that global adjustment fees had increased from $650 million in 2006 to more than $7 billion in 2014. She added that consumers would pay $133 billion in global adjustment fees from 2015 to 2032, after having already paid $37 billion from 2006 to 2014.

National Steel Car, which manufactures steel rail cars and faces high electricity rates that hurt Ontario factories, said its global adjustment costs went from $207,260 in 2008 to almost $3.4 million in 2016, according to an Ontario Court of Appeal decision released on Wednesday.

The company claimed the global adjustment was a tax because one of its components funds electricity procurement contracts under a “feed-in tariff” program, or FIT, which National Steel Car called “the main culprit behind the dramatic price increases for electricity,” the decision said.

Ontario’s auditor general said the FIT program “paid excessive prices to renewable energy generators.” The program has been ended, but contracts awarded under it remain in place.

National Steel Car claimed the FIT program “was actually designed to accomplish social goals unrelated to the generation of electricity,” such as helping rural and indigenous communities, and was therefore a tax trying to help with policy goals.

“The appellant submits that the Policy Goals can be achieved by Ontario in several ways, just not through the electricity pricing formula,” the decision said.

National Steel Car also argued the global adjustment violated a provincial law that requires the government to hold a referendum for new taxes.

“The appellant’s principal claim is that the Global Adjustment was a ‘colourable attempt to disguise a tax as a regulatory charge with the purpose of funding the costs of the Policy Goals,’” the decision said. “The appellant pressed this argument before the motion judge and before this court. The motion judge did not directly or adequately address it.”

The Ontario government applied to have the challenge thrown out for having “no reasonable cause of action,” and a Superior Court judge did so in 2018, saying the global adjustment is not a tax.

National Steel Car appealed the decision, and the decision published Wednesday allowed the appeal, set aside the lower-court judgment, and will send the case back to Superior Court, where it could get a full hearing.

“The appellant’s claim is sufficiently plausible on the evidentiary record it put forward that the applications should not have been dismissed on a pleadings motion before the development of a full record,” wrote Justice Peter D. Lauwers. “It is not plain, obvious and beyond doubt that the Global Adjustment, and particularly the challenged component, is properly characterized as a valid regulatory charge and not as an impermissible tax.”

Jerome Morse of Morse Shannon LLP, one of National Steel Car’s lawyers, said the Ontario government would now have 60 days to decide whether to seek permission to appeal to the Supreme Court of Canada.

“What the court has basically said is, ‘this is a plausible argument, here are the reasons why it’s plausible, there was no answer to this,’” Morse told the Financial Post.

Ontario and the IESO had supported the lower-court decision, but there has been a change in government since the challenge was first launched, with Progressive Conservative Premier Doug Ford replacing the Liberals and Kathleen Wynne in power. The Liberals had launched a plan aimed at addressing hydro costs before losing in a 2018 election, the main thrust of which had been to refinance global adjustment costs.

Wednesday’s decision states that “Ontario’s counsel advised the court that the current Ontario government ‘does not agree with the former government’s electricity procurement policy (since-repealed).’

“The government’s view is that: ‘The solution does not lie with the courts, but instead in the political arena with political actors,’” it adds.

A spokesperson for Ontario Energy Minister Greg Rickford said in an email that they are reviewing the decision but “as this matter is in the appeal period, it would be inappropriate to comment.” 

Ontario had also requested to stay the matter so a regulator, the Ontario Energy Board, could weigh in, while the Nova Scotia regulator approved a 14% hike in a separate case.

“However, Ontario only sought this relief from the motion judge in the alternative, and given the motion judge’s ultimate decision, she did not rule on the stay,” Thursday’s decision said. “It would be premature for this court to rule on the issue, although it seems incongruous for Ontario to argue that the Superior Court is the convenient forum in which to seek to dismiss the applications as meritless, but that it is not the convenient forum for assessing the merits of the applications.”

National Steel Car’s challenge bears a resemblance to the constitutional challenges launched by Ontario and other provinces over the federal government’s carbon tax, but Justice Lauwers wrote “that the federal legislative scheme under consideration in those cases is distinctly different from the legislation at issue in this appeal.”

“Nothing in those decisions impacts this appeal,” the judge added.
 

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Hinkley Point C dome lift marks a nuclear reactor milestone in Somerset, as EDF used Big Carl crane to place a 245-tonne steel roof, enabling 2027 startup amid costs, delays, and precision indoor welding.

Key Points

A 245-tonne dome lifted onto Hinkley Point C's first reactor, finishing the roof and enabling fit-out for a 2027 startup.

✅ 245-tonne steel dome lifted by Big Carl onto 44m-high reactor

✅ Indoor welding avoided weather defects seen at Flamanville

✅ Cost now £33bn; first power targeted by end of 2027

Engineers have lifted a steel roof onto a building which will house the first of two nuclear reactors at Hinkley Point in Somerset.

Hundreds of people helped with the delicate operation to get the 245-tonne steel dome into position.

It means the first reactor can be installed next year, ready to be switched on in June 2027.

Engineers at EDF said the "challenging job" was completed in just over an hour.

They first broke the ground on the new nuclear station in March 2017. Now, some 10,000 people work on what is Europe's largest building site.

Yet many analysts note that Europe is losing nuclear power even as demand for reliable energy grows.

They have faced delays from Covid restrictions and other recent setbacks, and the budget has doubled to £33bn, so getting the roof on the first of the two reactor buildings is a big deal.

EDF's nuclear island director Simon Parsons said it was a "fantastic night".

"Lifting the dome into place is a celebration of all the work done by a fantastic team. The smiles on people's faces this morning were something else.

"Now we can get on with the fitting of equipment, pipes and cables, including the first reactor which is on site and ready to be installed next year."

Nuclear minister Andrew Bowie hailed the "major milestone" in the building project, citing its role in the UK's green industrial revolution ambitions.

He said: "This is a key part of the UK Government's plans to revitalise nuclear."

But many still question whether Hinkley Point C will be worth all the money, especially after Hitachi's project freeze in Britain, with Roy Pumfrey of the Stop Hinkley campaign describing the project as "shockingly bad value".

Why lift the roof on?

The steel dome is bigger than the one on St Paul's Cathedral in London.

To lift it onto the 44-metre-high reactor building, they needed the world's largest land-based crane, dubbed Big Carl by engineers.

So why not just build the roof on top of the building?

The answer lies in a remote corner of Normandy in France, near a village called Flamanville.

EDF has been building a nuclear reactor there since 2007, ten years before they started in west Somerset.

The project is now a decade behind schedule and has still not been approved by French regulators.

Why? Because of cracks found in the precision welding on the roof of the reactor building.

In nuclear-powered France, they built the roof in situ, out in the open. 

Engineers have decided welding outside, exposed to wind and rain, compromised the high standards needed for a nuclear reactor.

So in Somerset they built a temporary workshop, which looks like a fair sized building itself. All the welding has been done inside, and then the completed roof was lifted into place.

Is it on time or on budget?

No, neither. When Hinkley C was first approved a decade ago, EDF said it would cost £14bn.

Four years later, in 2017, they finally started construction. By now the cost had risen to £19.5bn, and EDF said the plant would be finished by the end of 2025.

Today, the cost has risen to £33bn, and it is now hoped Hinkley C will produce electricity by the end of 2027.

"Nobody believes it will be done by 2027," said campaigner Roy Pumfrey.

"The costs keep rising, and the price of Hinkley's electricity will only get dearer," they added.

On the other hand, the increase in costs is not a problem for British energy bill payers, or the UK government.

EDF agreed to pay the full cost of construction, including any increases.

When I met Grant Shapps, then the UK Energy Secretary, at the site in April, he shrugged off the cost increases.

He said: "I think we should all be rather pleased it is not the British tax payer - it is France and EDF who are paying."

In return, the UK government agreed a set rate for Hinkley's power, called the Strike Price, back in 2013. The idea was this would guarantee the income from Hinkley Point for 35 years, allowing investors to get their money back.

Will it be worth the money?

Back in 2013, the Strike Price was set at £92.50 for each megawatt hour of power. At the time, the wholesale price of electricity was around £50/MWh, so Hinkley C looked expensive.

But since then, global shocks like the war in Ukraine have increased the cost of power substantially, and advocates argue next-gen nuclear could deliver smaller, cheaper, safer designs.

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Duke Energy Smart Meters enable remote meter reading, daily energy usage data, and two-way outage detection via AMI, with encrypted data, faster restoration, and remote connect/disconnect for Indiana customers in Howard County.

Key Points

Advanced meters that support remote readings, daily usage insights, two-way outage detection, and secure, encrypted data.

✅ Daily energy usage available online the next day

✅ Two-way communications speed outage detection and restoration

✅ Remote connect/disconnect; manual reads optional with opt-out fee

Say goodbye to your neighborhood meter reader. Say hello to your new smart meter.

Over the next three months, Duke Energy will install nearly 43,000 new high-tech electric meters for Howard County customers that will allow the utility company to remotely access meters via the digital grid instead of sending out employees to a homeowner's property for walk-by readings.

That means there's no need to estimate bills when meters can't be easily accessed, such as during severe weather or winter storms.

Other counties serviced by Duke Energy slated to receive the meters include Miami, Tipton, Cass and Carroll counties.

Angeline Protogere, Duke Energy's lead communication consultant, said besides saving the company money and manpower, the new smart meters come with a host of benefits for customers enabled by smart grid solutions today.

The meters are capable of capturing daily energy usage data, which is available online the next day. Having this information available on a daily basis can help customers make smarter energy decisions and support customer analytics that avoid billing surprises at the end of the month, she said.

"The real advantage is for the consumer, because they can track their energy usage and adjust their usage before the bills come," Protogere said.

When it comes to power outages, the meters are capable of two-way communications. That allows the company to know more about an outage through synchrophasor monitoring, which can help speed up restoration. However, customers will still need to notify Duke Energy if their power goes out.

If a customer is moving, they don't have to wait for a Duke Energy representative to come to the premises to connect or disconnect the energy service because requests can be performed remotely.

Protogere said when it comes to installing the meters, the changeover takes less than 5 minutes to complete. Customers should receive advance notices from the company, but the technician also will knock on the door to let the customer know they are there.

If no one is available and the meter is safely accessible, the technician will go ahead and change out the meter, Protogere said. There will be a momentary outage between the time the old meter is removed and the new meter is installed.

Kokomo and the surrounding areas are one of the last parts of the state to receive Duke Energy's new, high-tech meters, which are commonly used by other utility companies and in smart city initiatives across the U.S.

Protogere said statewide, the company started installing smart meters in August 2016 as utilities deploy digital transformer stations to modernize the grid. To date, they have installed 694,000 of the 854,000 they have planned for the state.

The company says the information stored and transmitted on the smart meters is safe, protected and confidential. Duke Energy said on its website that it does not share data with anyone without customers' authorization. The information coming from the meters is encrypted and protected from the moment it is collected until the moment it is purged, the company said.

Digital smart meter technology uses radio frequency bands that have been used for many years in devices such as baby monitors and medical monitors. The radio signals are far below the levels emitted by common household appliances and electronics, including cellphones and microwave ovens.

According to the World Health Organization, FCC, U.S. Food and Drug Administration and Electric Power Research Institute, no adverse health effects have been shown to occur from the radio frequency signals produced by smart meters or other such wireless networks.

However, customers can still opt-out of getting a smart meter and continue to have their meter manually read.

Those who choose not to get a smart meter must pay a $75 initial opt-out fee and an additional $17.50 monthly meter reading charge per account.

If smart meters have not yet been installed, Duke Energy will waive the $75 initial opt-out fee if customers notify the company they want to opt out within 21 days of receiving the installation postcard notice.

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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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Grid Modernization drives utilities to integrate DER, AMI, and battery storage while balancing reliability, safety, and affordability; regulators pursue cost-benefit analyses, new rate design, and policy actions to guide investment and protect customer-owned resources.

Key Points

Upgrading the grid to manage DER with digital tools, while maintaining reliability, safety, and customer affordability.

✅ Cost-benefit analyses guide prudent grid investments

✅ AMI and storage deployments enable DER visibility and control

✅ Rate design reforms support customer-owned resources

Utilities’ pursuit of a modern grid, including the digital grid concept, to maintain the reliability and safety pillars of electricity delivery has raised a lot of questions about the third pillar — affordability.

Utilities are seeing rising penetrations of emerging technologies, highlighted in recent grid edge trends reports, like distributed solar, behind-the-meter battery storage, and electric vehicles. These new distributed energy resources (DER) do not eliminate utilities' need to keep distribution systems safe and reliable.

But the need for modern tools to manage DER imposes costs on utilities, prompting calls to invest in smarter infrastructure even as some regulators, lawmakers and policymakers are concerned those costs could drive up electricity rates.

The result is an increasing number of legislative and regulatory grid modernization actions aimed at identifying what is necessary to serve the coming power sector transformation and address climate change risks across the grid.

The rise of grid modernization

Grid modernization, which is supported by both conservatives and distributed energy resources advocates, got a lot of attention last year. According to the 2017 review of grid modernization policy by the North Carolina Clean Energy Technology Center (NCCETC), 288 grid modernization policy actions were proposed, pending or enacted in 39 states.

These numbers from NCCETC's first annual review of policy activity set a benchmark against which future years' activity can be measured.

The most common type of state actions, by far, were those that focused on the deployment of advanced metering infrastructure (AMI) and battery energy storage. Those are two of the 2017 trends identified in NCCETC’s 50 States of Grid Modernization report. But deployment of those technologies, while foundational to an updated grid, only begins to prepare distribution systems for the coming power sector transformation.

Bigger advances, including the newest energy system management tools, are being held back by 2017’s other policy actions requiring more deliberation and fact-finding, even as grid vulnerability report cards underscore the risks that modernization seeks to mitigate.

Utilities’ proposals to more fully prepare their grids to deliver 21st century technologies are being met with questions about completeness and cost.

Utilities are being asked to address these questions in comprehensive, public utility commission-led cost-benefit analyses and studies. This is also one of NCCETC’s top 2017 policy action trends for grid modernization. The outcome to date appears to be an increased, but still incomplete, understanding of what is needed to build a 21st century grid.

Among the top objectives of those driving the policy actions are resolving questions about private sector participation in grid modernizaton buildouts and developing new rate designs to protect and support customer-owned distributed energy resources. Actions on those topics are also on NCCETC’s list of 2017 policy trends.

Altogether, the trend list is dominated by actions that do not lead to completion of grid modernization but to more work on it.

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US Control of Ukraine Nuclear Plants sparks debate over ZNPP, Zaporizhzhia, sovereignty, safety, ownership, and international cooperation, as Washington touts utility expertise, investment, and modernization to protect critical energy infrastructure amid conflict.

Key Points

US management proposal for Ukraine's nuclear assets, notably ZNPP, balancing sovereignty, safety, and investment.

✅ Ukraine retains ownership; any transfer requires parliament approval.

✅ ZNPP safety risks persist amid occupation near active conflict.

✅ International reactions split: sovereignty vs. cooperation and investment.

In a recent phone call with Ukrainian President Volodymyr Zelenskyy, U.S. President Donald Trump proposed that the United States take control of Ukraine's nuclear power plants, including the Zaporizhzhia Nuclear Power Plant (ZNPP), which has been under Russian occupation since early in the war and where Russia is reportedly building power lines to reactivate the plant amid ongoing tensions. Trump suggested that American ownership of these plants could be the best protection for their infrastructure, a proposal that has sparked controversy in policy circles, and that the U.S. could assist in running them with its electricity and utility expertise.

Ukrainian Response

President Zelenskyy promptly addressed Trump's proposal, stating that while the conversation focused on the ZNPP, the issue of ownership was not discussed. He emphasized that all of Ukraine's nuclear power plants belong to the Ukrainian people and that any transfer of ownership would require parliamentary approval . Zelenskyy clarified that while the U.S. could invest in and help modernize the ZNPP, ownership would remain with Ukraine.

Security Concerns

The ZNPP, Europe's largest nuclear facility, has been non-operational since its occupation by Russian forces in 2022. The plant's location near active conflict zones raises significant safety risks that the IAEA has warned of in connection with attacks on Ukraine's power grids, and its future remains uncertain. Ukrainian officials have expressed concerns about potential Russian provocations, such as explosions, especially after UN inspectors reported mines at the Zaporizhzhia plant near key facilities, if and when Ukraine attempts to regain control of the plant.

International Reactions

The proposal has elicited mixed reactions both within Ukraine and internationally. Some Ukrainian officials view it as an opportunistic move by the U.S. to gain control over critical infrastructure, while others see it as a potential avenue for modernization and investment, alongside expanding wind power that is harder to destroy in wartime. The international community remains divided on the issue, with some supporting Ukraine's sovereignty over its nuclear assets and others advocating for a possible agreement on power plant attacks to ensure the plant's safety and future operation.

President Trump's proposal to have the U.S. take control of Ukraine's nuclear power plants has sparked significant controversy. While the U.S. offers expertise and investment, Ukraine maintains that ownership of its nuclear assets is a matter of national sovereignty, even as it has resumed electricity exports to bolster its economy. The situation underscores the complex interplay between security, sovereignty, and international cooperation in conflict zones.

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