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Ontario Global Adjustment and ICI balance hydro rates, renewable cost shift, and peak demand. Class A and Class B customers face demand response decisions amid pandemic occupancy uncertainty and volatile GA charges through 2022.

Key Points

A pricing model where GA costs and ICI peak allocation shape Class A/B bills, driven by renewables cost shifts.

✅ Renewable cost shift trims GA; larger Class A savings expected.

✅ Class A peak strategy returns; occupancy uncertainty persists.

✅ Class B faces volatile GA; limited levers beyond efficiency.

Ontario’s large commercial electricity customers can approach the looming annual decision about their billing structure for the 12 months beginning July 1 with the assurance of long-term relief on a portion of their costs, amid changes coming for electricity consumers that could affect planning. That’s to be weighed against uncertainties around energy demand and whether a locked-in cost allocation formula that looked favourable in pre-pandemic times will remain so until June 30, 2022.

“The biggest unknown is we just don’t know when the people are coming back,” Jon Douglas, director of sustainability with Menkes Property Management Services, reflected during a webinar sponsored by the Building Owners and Managers Association (BOMA) of Greater Toronto last week. “The occupancy in our office buildings this fall, and going into the new year, could really impact the outcome of the decision.”

After a year of operational upheaval and more modifications to provincial electricity pricing policies, BOMA Toronto’s regularly scheduled workshop ahead of the June 15 deadline for eligible customers to opt into the Industrial Conservation Initiative (ICI) program had a lot of ground to cover. Notably, beginning in January, all commercial customers have seen a reduction in the global adjustment (GA) component of their monthly hydro bills after the Ontario government shifted costs associated with contracted non-hydroelectric renewable supply to reduce the burden on industrial ratepayers from electricity rates to the general provincial account — a move that trims approximately $258 million per month from the total GA charged to industrial and commercial customers. However, they won’t garner the full benefit of that until 2022 since they’re currently repaying about $333 million in GA costs that were deferred in April, May and June of 2020.

Renewable cost shift pares the global adjustment
For now, Ontario government officials estimate the renewable cost shift equates to a 12 per cent discount relative to 2020 prices, even as typical bills may rise about 2% as fixed pricing ends in some cases. Once last year’s GA deferral is repaid at the end of 2021, they project the average Class A customer participating in the ICI program should realize a 16 per cent saving on the total hydro bill, while Class B customers paying the GA on a volumetric per kilowatt-hour (kWh) basis will see a slightly more moderate 15 per cent decrease.

“This is the biggest change to electricity pricing that’s happened since the introduction of ICI,” Tim Christie, director of electricity policy, economics and system planning for Ontario’s Ministry of Energy, Northern Development and Mines, told online workshop attendees. “The government is funding the out-of-market costs of renewables. It does tail off into the 2030s as those contracts (for wind, solar and biomass generation) expire, but over the next eight-ish years, it’s pretty steady at around just over $3 billion per year.”

Extrapolating from 2020 costs, he pegged average electricity costs at roughly 9.1 cents/kWh for Class A commercial customers and 13.2 cents/kWh for Class B, a point of concern for Ontario manufacturers facing high rates as well. However, energy management specialists suggest actual 2021 numbers haven’t proved that out.

“In commercial buildings, we’re averaging 10 to 12 cents for Class A in 2021, and we’re seeing more than that for about 14, 15 cents for Class B,” reported Scott Rouse, managing partner with the consulting firm, Energy@Work.

GA costs for Class B customers dropped nearly 30 per cent in the first four months of 2021 compared to the last four months of 2020, when they averaged 11.8 cents/kWh. Thus far, though, there have been significant month-to-month fluctuations, with a low of 5.04 cents/kWh in February and a high of 10.9 cents/kWh in April contributing to the four-month average of 8.3 cents/kWh.

“In 2020, system-wide GA very often averaged more than $1 billion per month,” Rouse said. “This February it dropped to $500 million, which was really quite surprising. So it is a very volatile cost.”

Although welcome, the renewable cost shift does alter the payback on energy-saving investments, particularly for demand response mechanisms like energy storage. When combined with pandemic-related uncertainty and a series of policy and program reversals alongside calls to clean up Ontario’s hydro policy in recent years, the industry’s appetite for some more capital-intensive technologies appears to be flagging.

“Volatility puts a pause on some of the innovation,” said Terry Flynn, general manager with BentallGreenOak and chair of BOMA Toronto’s energy committee. “It could be a leading edge, but it might be a bleeding edge that won’t bear any fruit because the way the commodity costs are structured will change.”

“There’s kind of a wait-and-see approach on some of these bigger investments,” Douglas concurred.

Industrial Conservation Initiative underpins commercial class divide
Turning to the ICI, Class A customers — defined as those with average monthly energy demand of at least 1 megawatt (MW) — encountered some unexpected changes to the program rules during 2020. Meanwhile, Class B customers — encompassing the vast share of commercial properties smaller than about 350,000 square feet — confront the persistent reality of electricity cost allocation that offloads the burden from larger players onto them.

Through the ICI, participating Class A customers pay a share of the global adjustment that’s prorated to their energy use during the five hours of the period from May 1 to April 30 when the highest overall system demand is recorded. This gives Class A customers the opportunity to lock in a favourable factor for calculating their share of monthly system-wide global adjustment costs if they can successful project and curtail energy loads during those five hours of peak demand. On the flipside, Class B customers pay the remainder of those system-wide costs, on a straightforward per-kWh basis, once Class A payments have been reconciled.

“Class B has sometimes been regarded as the forgotten middle child of the customer classes in Ontario where all the shifted costs in the system kind of pile up,” acknowledged Mark Olsheski, vice president, energy and environment, with Sussex Strategy Group. “Likewise, there can be big unpredictable and uncontrollable swings in the global adjustment rate from month to month and, outside of pure energy efficiency, there really is precious little opportunity or empowerment for a Class B customer to take actions to lower their bills.”

Nevertheless, COVID-19 presents a few extra hiccups for Class A customers this year. Conventionally, late May is when they receive notification of the cost allocation factor that would be used to determine their GA for the upcoming July 1 to June 30 period. This year, though, all current ICI participants will retain the factor they secured by responding to the five hours of peak demand during the 12 months from May 1, 2019 to April 30, 2020 after the Ontario government placed a temporary halt on the peak demand response aspect of the program last summer. Regardless, eligible ICI participants must formally opt into the program by June 15 or they will be billed as Class B customers.

Peak chasing resumes for summer 2021
Since peak demand hours conventionally occur from June to September, Class A customers will once again be studying forecasts intently and preparing to respond via Peak Perks as the heat wave season sets in. That should help alleviate some of the system stresses that arose last summer — prompting policy-makers to reject lobbying for a continued pause on peak demand response.

“The policy rationale was to allow consumers to focus on their operations when recovering from COVID as opposed to reducing peaks. The other issue was that we did not expect the peaks to be high last summer given COVID shutdowns,” Christie recounted. “But due to some hot weather, more people at home and also the lack of ICI response, we saw peaks we haven’t seen in many, many years come up last summer. So the peak hiatus has ended and this summer we’ll be back to responding to ICI as per normal.”

Among Class A customers, owners/managers of office and retail facilities generally have the most to lose from a billing formula tied to the energy demand of more densely occupied buildings in the summer of 2019. However, they could be much more competitively positioned for 2022-23 if their buildings remain below full occupancy and energy demand stays lower than usual this summer.

“Where we can improve is the IESO (Independent Electricity System Operator) and the LDCs (local distribution companies) need to help customers get their real-time data, especially in light of the phantom demand issue, interpret their bills and their Class A versus B scenarios much more easily and comprehensively,” urged Lee Hodgkinson, vice president, technical services, sustainability and ESG, with Dream Unlimited. “ I look for APIs (application programming interface) and direct data flow from the LDCs to the building owners so that we can access that data really easily.”

Given Class A’s historic advantages, few eligible ICI participants are expected to migrate out to Class B. From a sustainability perspective, there’s perhaps more cause to question how the ICI’s 1-MW threshold encourages strategies to move in the other direction.

“You could jack up demand in some buildings and get them into Class A basically by firing up the chillers on the weekend and then pouring cooling outside to get rid of it,” Douglas noted. “That has nothing to do with climate change strategy or sustainability, but it’s a cost- saving strategy, and, sometimes, when you look at the math, it’s hundreds of thousands of dollars you can save.”

Brian Hewson, vice president, consumer protection and industry performance with the Ontario Energy Board (OEB), confirmed the OEB is currently scrutinizing the discrepancy that leaves Class B as the only consumer group with no flexibility to curtail energy load during higher-priced periods, and will be providing advice to the Ministry of Energy. In the interim, that status does, at least, simplify tactics.

“Just reduce your kWh and it doesn’t matter what time of day because you’re paying that fixed rate for 24 hours a day. So if you can curb your demand at night, you get a big bang for your dollar,” Rouse advised.

“We do talk about rates a lot, but if you’re not using it, you’re not paying for it,” Flynn agreed. “A lot of our focus is still on really to try to reduce the number of kilowatts that we use. That seems to be the best thing to do.”

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US SF6 Emissions Decline as NOAA analysis and EPA mitigation show progress, with atmospheric measurements and Greenhouse Gas Reporting verifying reductions from the electric power grid; sulfur hexafluoride's extreme global warming potential underscores inventory improvements.

Key Points

A documented drop in US sulfur hexafluoride emissions, confirmed by NOAA atmospheric data and EPA reporting reforms.

✅ NOAA towers and aircraft show 2007-2018 decline

✅ EPA reporting and utility mitigation narrowed inventory gaps

✅ Winter leaks and servicing signal further reduction options

A new NOAA analysis shows U.S. emissions of the super-potent greenhouse gas sulfur hexafluoride (SF6) have declined between 2007-2018, likely due to successful mitigation efforts by the Environmental Protection Agency (EPA) and the electric power industry, with attention to SF6 in the power industry across global markets. 

At the same time, significant disparities that existed previously between NOAA’s estimates, which are based on atmospheric measurements, and EPA’s estimates, which are based on a combination of reported emissions and industrial activity, have narrowed following the establishment of the EPA's Greenhouse Gas Reporting Program. The findings, published in the journal Atmospheric Chemistry and Physics, also suggest how additional emissions reductions might be achieved. 

SF6 is most commonly used as an electrical insulator in high-voltage equipment that transmits and distributes electricity, and its emissions have been increasing worldwide as electric power systems expand, even as regions hit milestones like California clean energy surpluses in recent years. Smaller amounts of SF6 are used in semiconductor manufacturing and in magnesium production. 

SF6 traps 25,000 times more heat than carbon dioxide over a 100-year time scale for equal amounts of emissions, and while CO2 emissions flatlined in 2019 globally, that comparison underscores the potency of SF6. That means a relatively small amount of the gas can have a significant impact on climate warming. Because of its extremely large global warming potential and long atmospheric lifetime, SF6 emissions will influence Earth’s climate for thousands of years.

In this study, researchers from NOAA’s Global Monitoring Laboratory, as record greenhouse gas concentrations drive demand for better data, working with colleagues at EPA, CIRES, and the University of Maryland, estimated U.S. SF6 emissions for the first time from atmospheric measurements collected at a network of tall towers and aircraft in NOAA’s Global Greenhouse Gas Reference Network. The researchers provided an estimate of SF6 emissions independent from the EPA’s estimate, which is based on reported SF6 emissions for some industrial facilities and on estimated SF6 emissions for others.

“We observed differences between our atmospheric estimates and the EPA’s activity-based estimates,” said study lead author Lei Hu, a Global Monitoring Laboratory researcher who was a CIRES scientist at the time of the study. “But by closely collaborating with the EPA, we were able to identify processes potentially responsible for a significant portion of this difference, highlighting ways to improve emission inventories and suggesting additional emission mitigation opportunities, such as forthcoming EPA carbon capture rules for power plants, in the future.” 

In the 1990s, the EPA launched voluntary partnerships with the electric power, where power-sector carbon emissions are falling as generation shifts, magnesium, and semiconductor industries to reduce SF6 emissions after the United States recognized that its emissions were significant. In 2011, large SF6 -emitting facilities were required to begin tracking and reporting their emissions under the EPA Greenhouse Gas Reporting Program. 

Hu and her colleagues documented a decline of about 60 percent in U.S. SF6 emissions between 2007-2018, amid global declines in coal-fired power in some years—equivalent to a reduction of between 6 and 20 million metric tons of CO2 emissions during that time period—likely due in part to the voluntary emission reduction partnerships and the EPA reporting requirement. A more modest declining trend has also been reported in the EPA’s national inventories submitted annually under the United Nations Framework Convention on Climate Change. 

Examining the differences between the NOAA and EPA independent estimates, the researchers found that the EPA’s past inventory analyses likely underestimated SF6 emissions from electrical power transmission and distribution facilities, and from a single SF6 production plant in Illinois. According to Hu, the research collaboration has likely improved the accuracy of the EPA inventories. The 2023 draft of the EPA’s U.S. Greenhouse Gas Emissions and Sinks: 1990-2021 used the results of this study to support revisions to its estimates of SF6 emissions from electrical transmission and distribution. 

The collaboration may also lead to improvements in the atmosphere-based estimates, helping NOAA identify how to expand or rework its network to better capture emitting industries or areas with significant emissions, according to Steve Montzka, senior scientist at GML and one of the paper’s authors.

Hu and her colleagues also found a seasonal variation in SF6 emissions from the atmosphere-based analysis, with higher emissions in winter than in summer. Industry representatives identified increased servicing of electrical power equipment in the southern states and leakage from aging brittle sealing materials in the equipment in northern states during winter as likely explanations for the enhanced wintertime emissions—findings that suggest opportunities for further emissions reductions.

“This is a great example of the future of greenhouse gas emission tracking, where inventory compilers and atmospheric scientists work together to better understand emissions and shed light on ways to further reduce them,” said Montzka.

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U.S. Wind Power 2025 drives record capacity additions, with FERC data showing robust renewable energy growth, IRA incentives, onshore and offshore projects, utility-scale generation, grid integration, and manufacturing investment boosting clean electricity across key states.

Key Points

Overview of record wind additions, IRA incentives, and grid expansion defining the U.S. clean electricity mix in 2025.

✅ FERC: 30.1% of new U.S. capacity in Jan 2025 from wind

✅ Major projects: Cedar Springs IV, Boswell, Prosperity, Golden Hills

✅ IRA incentives drive onshore, offshore builds and manufacturing

In early 2025, wind power has significantly strengthened its position in the United States' electricity generation portfolio. According to data from the Federal Energy Regulatory Commission (FERC), wind energy accounted for 30.1% of the new electricity capacity added in January 2025, and as the most-used renewable source in the U.S., it also surpassed the previous record set in 2024. This growth is attributed to substantial projects such as the 390.4 MW Cedar Springs Wind IV and the 330.0 MW Boswell Wind Farm in Wyoming, along with the 300.0 MW Prosperity Wind Farm in Illinois and the 201.0 MW Golden Hills Wind Farm Expansion in Oregon. 

The expansion of wind energy capacity is part of a broader trend where solar and wind together accounted for over 98% of the new electricity generation capacity added in the U.S. in January 2025. This surge is further supported by the federal government's Inflation Reduction Act (IRA) and broader policy support for renewables, which has bolstered incentives for renewable energy projects, leading to increased investments and the establishment of new manufacturing facilities. 

By April 2025, clean electricity sources, including wind and solar, were projected to surpass 51% of total utility-scale electricity generation in the U.S., building on a 25.5% renewable share seen in recent data, marking a significant milestone in the nation's energy transition. This achievement is attributed to a combination of factors: a seasonal drop in electricity demand during the spring shoulder season, increased wind speeds in key areas like Texas, and higher solar production due to longer daylight hours and expanded capacity in states such as California, Arizona, and Nevada, supported by record installations across the solar and storage industry. 

Despite a 7% decline in wind power production in early April compared to the same period in 2024—primarily due to weaker wind speeds in regions like Texas—the overall contribution of wind energy remained robust, supported by an 82% clean-energy pipeline that includes wind, solar, and batteries. This resilience underscores the growing reliability of wind power as a cornerstone of the U.S. electricity mix. 

Looking ahead, the U.S. Department of Energy projects that wind energy capacity will continue to grow, with expectations of adding between 7.3 GW and 9.9 GW in 2024, and potentially increasing to 14.5 GW to 24.8 GW by 2028. This growth is anticipated to be driven by both onshore and offshore wind projects, with onshore wind representing the majority of new additions, continuing a trajectory since surpassing hydro capacity in 2016 in the U.S.

Early 2025 has witnessed a notable increase in wind power's share of the U.S. electricity generation mix. This trend reflects the nation's ongoing commitment to expanding renewable energy sources, especially after renewables surpassed coal in 2022, supported by favorable policies and technological advancements. As the U.S. continues to invest in and develop wind energy infrastructure, the role of wind power in achieving a cleaner and more sustainable energy future becomes increasingly pivotal.

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India Coal Power PLF rose as capacity utilisation improved on rising peak demand and hydropower shortfall; thermal plants lifted plant load factor, IPPs lagged, and generation beat program targets amid weak rainfall and slower snowmelt.

Key Points

Coal plant load factor in India rose in May on higher demand and weak hydropower, with generation beating targets.

✅ PLF rose to 65.3% as demand climbed

✅ Hydel generation fell 14% YoY on poor rainfall

✅ IPP PLF at 57.8%, below 60% debt comfort

Capacity utilisation levels of coal-based power plants improved in May because of a surge in electricity demand and lower generation from hydroelectric sources. The plant load factor (PLF) of thermal power plants went up to 65.3% in the month, 1.7 percentage points higher than the year-ago period.

While PLFs of central and state government-owned plants were 75.5% and 64.5%, respectively, the same for independent power producers (IPPs) stood at 57.8%, even as coal and electricity shortages eased across the market. Though PLFs of IPPs were higher than May 2017 levels, it failed to cross the 60% mark, which eases debt servicing capabilities of power generation assets.

Thermal power plants generated 96,580 million units (MU) in May, 4% more than the programme set for the month and 5.2% higher than last year, partly supported by higher imported coal volumes in the market. On the other hand, hydel plants produced 10,638 MU, 10% lower than the target, reflecting a 14% decline from last year.

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Peak demand of power on the last day of the month was 1,62,132 MW, 4.3% higher than the demand registered in the same day a year ago, underscoring India's position as the third-largest electricity producer globally.

According to sources, hydropower plants have been generating lesser than expected electricity due to inadequate rainfall and snow melting at a slower pace than previous years, even as the US reported a power generation jump year on year. Data for power generation from renewable sources have not been made available yet.

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2022 U.S. Power Outage Statistics show lower SAIDI as fewer major events hit, with SAIFI trends, electric reliability, outage duration and frequency shaped by hurricanes, winter storms, vegetation, and utility practices across states.

Key Points

They report SAIDI and SAIFI for 2022, showing outage duration, frequency, and impacts of major weather events.

✅ 2022 SAIDI averaged 5.6 hours; SAIFI averaged 1.4 interruptions.

✅ Fewer major events lowered outage duration versus 2021.

✅ Hurricanes and winter storms drove long outages in several states.

In 2022, U.S. electricity consumers on average experienced about 5.5 hours of power disruptions, a decrease from nearly two hours compared to 2021. This information comes from the latest Annual Electric Power Industry Report. The reduction in yearly power interruptions primarily resulted from fewer significant events in 2022 compared to the previous year, and utility disaster planning continues to support grid resilience as severe weather persists.

Since 2013, excluding major events, the annual average duration of power interruptions has consistently hovered around two hours. Factors contributing to major power disruptions include weather-related incidents, vegetation interference near power lines, and specific utility practices, while pandemic-related grid operations influenced workforce planning more than outage frequency. To assess the reliability of U.S. electric utilities, two key indexes are utilized:

• The System Average Interruption Duration Index (SAIDI) calculates the total length (in hours) an average customer endures non-brief power interruptions over a year.
• The System Average Interruption Frequency Index (SAIFI) tracks the number of times interruptions occur.

The influence of major events on electrical reliability is gauged by comparing affected states' SAIDI and SAIFI values against the U.S. average, which was 5.6 hours of outages and 1.4 outages per customer in 2022. The year witnessed 18 weather-related disasters in the U.S., each resulting in over $1 billion in damages, and COVID-19 grid assessments indicated the electricity system was largely safe from pandemic impacts. Noteworthy major events include:

• Hurricane Ian in September 2022, leaving over 2.6 million Floridian customers without electricity, with restoration in some areas taking weeks rather than days.
• Hurricane Nicole in November 2022, causing over 300,000 Florida customers to lose power.
• Winter Storm Elliott in December 2022, affecting over 1.5 million customers in multiple states including Texas where utilities struggled after Hurricane Harvey to restore service, and Florida, and bringing up to four feet of snow in parts of New York.

In 2022, states like Florida, West Virginia, Maine, Vermont, and New Hampshire experienced the most prolonged power interruptions, with New Hampshire averaging 10.3 hours and Florida 19.1 hours, and FPL's Irma storm response illustrates how restoration can take days or weeks in severe cases. Conversely, the District of Columbia, Delaware, Rhode Island, Nebraska, and Iowa had the shortest total interruptions, with the District of Columbia averaging just 34 minutes and Iowa 85 minutes.

The frequency of outages, unlike their duration, is more often linked to non-major events. Across the nation, Alaska recorded the highest number of power disruptions per customer (averaging 3.5), followed by several heavily forested states like Tennessee and Maine. Power outages due to falling tree branches are common, particularly during winter storms that burden tree limbs and power lines, as seen in a North Seattle outage affecting 13,000 customers. The District of Columbia stood out with the shortest and fewest outages per customer.

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U.S. Data Center Power Demand is straining electric utilities and grid reliability as AI, cloud computing, and streaming surge, driving transmission and generation upgrades, demand response, and renewable energy sourcing amid rising electricity costs.

Key Points

The rising electricity load from U.S. data centers, affecting utilities, grid capacity, and energy prices.

✅ AI, cloud, and streaming spur hyperscale compute loads

✅ Grid upgrades: transmission, generation, and substations

✅ Demand response, efficiency, and renewables mitigate strain

U.S. electric utilities are facing a significant new challenge as the explosive growth of data centers puts unprecedented strain on power grids across the nation. According to a new report from Reuters, data centers' power demands are expected to increase dramatically over the next few years, raising concerns about grid reliability and potential increases in electricity costs for businesses and consumers.

What's Driving the Data Center Surge?

The explosion in data centers is being fueled by several factors, with grid edge trends offering early context for these shifts:

• Cloud Computing: The rise of cloud computing services, where businesses and individuals store and process data on remote servers, significantly increases demand for data centers.
• Artificial Intelligence (AI): Data-hungry AI applications and machine learning algorithms are driving a massive need for computing power, accelerating the growth of data centers.
• Streaming and Video Content: The growth of streaming platforms and high-definition video content requires vast amounts of data storage and processing, further boosting demand for data centers.

Challenges for Utilities

Data centers are notorious energy hogs. Their need for a constant, reliable supply of electricity places  heavy demand on the grid, making integrating AI data centers a complex planning challenge, often in regions where power infrastructure wasn't designed for such large loads. Utilities must invest significantly in transmission and generation capacity upgrades to meet the demand while ensuring grid stability.

Some experts warn that the growth of data centers could lead to brownouts or outages, as a U.S. blackout study underscores ongoing risks, especially during peak demand periods in areas where the grid is already strained. Increased electricity demand could also lead to price hikes, with utilities potentially passing the additional costs onto consumers and businesses.

Sustainable Solutions Needed

Utility companies, governments, and the data center industry are scrambling to find sustainable solutions, including using AI to manage demand initiatives across utilities, to mitigate these challenges:

• Energy Efficiency: Data center operators are investing in new cooling and energy management solutions to improve energy efficiency. Some are even exploring renewable energy sources like onsite solar and wind power.
• Strategic Placement: Authorities are encouraging the development of data centers in areas with abundant renewable energy and access to existing grid infrastructure. This minimizes the need for expensive new transmission lines.
• Demand Flexibility: Utility companies are experimenting with programs as part of a move toward a digital grid architecture to incentivize data centers to reduce their power consumption during peak demand periods, which could help mitigate power strain.

The Future of the Grid

The rapid growth of data centers exemplifies the significant challenges facing the aging U.S. electrical grid, with a recent grid report card highlighting dangerous vulnerabilities. It highlights the need for a modernized power infrastructure, capable of accommodating increasing demand spurred by new technologies while addressing climate change impacts that threaten reliability and affordability.  The question for utilities, as well as data center operators, is how to balance the increasing need for computing power with the imperative of a sustainable and reliable energy future.

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