Juneau forced to cope with sudden energy shortage

By Associated Press


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First, there was a run on energy-efficient light bulbs. When those ran out, people began asking for lamp oil. But when they started demanding clothespins in this land of mist and rain, it was clear Alaska's capital city was caught in a serious energy crunch.

"We sold all our clothespins the first day," said Doug White, general manager at Don Abel Building Supplies. "I don't think kids even knew what they were for, but they're learning now."

Avalanches in mid-April knocked down transmission lines and cut off Juneau's source of low-cost hydroelectric power. Threatened with a fivefold increase in utility bills, Juneau quickly powered down.

Stores, though open, went partially dark. Neon signs were switched off and vending machines unplugged. At home, residents of this former Gold Rush town began living a little bit like pioneers, dusting the snow off the grill, stringing clotheslines in the backyard and flicking off their TV sets. Within a week, electrical usage across town was down as much as 30 percent.

Energy conservation is a hard sell in much of the U.S., but Juneau has proved that people will change their ways if the financial incentives are big enough.

"Turn off, turn down, unplug," said Sarah Lewis, chairwoman of the Juneau Commission on Sustainability. "That's what everyone is doing and being vigilant about and commenting when others are not."

The April 16 snow slides that roared out of the mountains some 25 miles southeast of town uprooted transmission towers and plowed through 1.5 miles of high-voltage lines that link this largely isolated community of 30,000 to the Snettisham hydroelectric dam. As back-up diesel generators shouldered the load, the electric company began warning customers that life in Juneau - already expensive - was about to get a lot more so.

With oil prices reaching a record $120 a barrel, Alaska Electric Light and Power said customers might have to pay for an extra $25 million in diesel over the three months it will take to repair the lines. The utility warned that rates would probably leap from an average of 11 cents per kilowatt-hour to more than 50 cents, or about five times the 10.3 cents that is the national average.

Conversations all over town turned to kilowatt hours, tariff rates and saving energy.

Heidi Graves said her 16-year-old son, Levi - the one who never would turn off his Nintendo - was the first to get on board. He was worried that the family of six would have to cancel its vacation next August.

Levi multiplied the electric bill by five and came up with $950. "It's more than our house payment," said his mother.

Now members of the Graves family eat dinner by candlelight, do dishes by hand, plan to dry their clothes on a rack by the wood stove, and limit their time on the computer.

"My husband has bruised himself and tripped over the dog just to keep the lights off," Graves said.

Graves also ordered a history of past electrical use so that the family could ferret out which appliances were the real power hogs, and they learned how to read their own electric meter, which they are now doing several times a day.

Though the Graves heat solely with wood, perhaps one in five houses in Juneau is wired for electric heat because hydroelectric power is relatively cheap and natural gas is unavailable.

In part because Juneau is so far removed from the Lower 48 and is inaccessible by road, its cost of living is 34.5 percent higher than that of the average U.S. city, and its housing costs are 50 percent higher, according to a survey of 300 American cities. Even an oil change is $60, twice what it costs in many places down south.

Residents will see the sobering new rates on paper - and the early results of their conservation efforts - as the first electric bills are set to begin arriving in mailboxes.

Energy expert Allen Meier of California's Lawrence Berkeley National Laboratory is visiting Juneau to offer advice on the crisis. He said the closest comparison may be Brazil in 2001, when severe drought gripped the hydropower-dependent country. Brazilians were told to reduce their electricity usage by 20 percent or be disconnected.

"In two months, the whole country cut their demand by 20 percent and they never really returned to the same level of consumption after that," Meier said.

Eighth-grader Matthew Staley is hoping the people of Juneau will likewise develop new habits over the course of three months, and "realize that - wow - we have to keep this up. Like switching to fluorescent lights, they'll just keep on with them."

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BC Hydro cryptic about crypto mining electricity use

BC Hydro Crypto Mining Moratorium pauses high-load connection requests, as BCUC reviews electricity demand, gigawatt-hours and megawatt load forecasts, data center growth, and potential rate impacts on the power grid and industrial customers.

 

Key Points

A BC order pausing crypto mining connections while BC Hydro and BCUC assess load, grid impacts, and ratepayer risks.

✅ 18-month pause on new high-load crypto connections

✅ 1,403 MW in requests suspended; 273 MW existing or pending

✅ Seeks to manage demand, rates, and grid reliability

 

In its Nov. 1, 2022 load update briefing note to senior executives of the Crown corporation, BC Hydro shows that the entire large industrial sector accounted for 6,591 gigawatt-hours during the period – one percent less than forecast in the service plan.

BC Hydro censored load statistics about crypto mining, coal mining and chemicals from the briefing note, which was obtained under the freedom of information law and came amid scrutiny over B.C. electricity imports because it feared that disclosure would harm Crown corporation finances and third-party business interests.

Crypto mining requires high-powered computers to run and be cooled around the clock constantly. So much so that cabinet ordered the BC Utilities Commission (BCUC) last December to place an 18-month moratorium on crypto mining connection requests, while other jurisdictions, such as the N.B. Power crypto review, undertook similar pauses to assess impacts.


In a news release, the government said 21 projects seeking 1,403 megawatts were temporarily suspended. The government said that would be enough to power 570,000 homes or 2.1 million electric vehicles for a year.

A report issued by BC Hydro before Christmas said there were already 166 megawatts of power from operational projects at seven sites. Another six projects with 107 megawatts were nearing connection, bringing its total load to 273 megawatts.

Richard McCandless, a retired assistant deputy minister who analyzes the performance of BC Hydro and the Insurance Corp of British Columbia, said China's May 2021 ban on crypto mining had a major ripple effect on those seeking cheap and reliable power.

"When China cracked down, these guys fled to different areas," McCandless said in an interview. "So they took their computers and went somewhere else. Some wound up in B.C."

He said BC Hydro's secrecy about crypto loads appears rooted in the Crown corporation underestimating load demand, even as new generating stations were commissioned to bolster capacity.

"Crypto is up so dramatically; they didn't want to show that," McCandless said. "Maybe they didn't want to be seen as being asleep at the switch."

Indeed, BCUC's April 21 decision on BC Hydro's 2021 revenue forecasts through the 2025 fiscal year included BC Hydro's forecast increase for crypto and data centres of about 100 gigawatt-hours through fiscal 2024 before returning to 2021 levels by 2025. In addition, the BCUC document said that BC Hydro's December 2020 load forecast was lower than the previous one because of project cancellations and updated load requests, amid ongoing nuclear power debate in B.C.

"Given the segment's continued uncertainty and volatility, the forecast assumes these facilities are not long-lived," the BC Hydro application said.

A September 2022 report to the White House titled "Crypto-Assets in the United States" said increased electricity demand from crypto-asset mining could lead to rate increases.

"Crypto-asset mining in upstate New York increased annual household electric bills by [US]$82 and annual small business electric bills by [US]$164, with total net losses from local consumers and businesses estimated to be [US]$179 million from 2016-2018," the report said. The information mentioned Plattsburgh, New York's 18-month moratorium in 2018. Manitoba announced a similar suspension almost a month before B.C.

B.C.'s total core domestic load of 23,666 gigawatt-hours was two percent higher than the service plan amid BC Hydro call for power planning, with commercial and light industrial (9,198 gigawatt-hours) and residential (7,877 gigawatt-hours) being the top two customer segments.

"A cooler spring and warmer summer supported increased loads, as the Western Canada drought strained hydropower production regionally. However, warmer daytime temperatures in September impacted heating more than cooling," said the briefing note.

"Commercial and light industrial consumption benefited from warmer temperatures in August but has also been impacted to a lesser degree by the reduced heating load in the first three weeks of October."

Loads improved relative to 2021, but offices, retail businesses and restaurants remained below pre-pandemic levels. Education, recreation and hotel sectors were in line with pre-pandemic levels. Light industrial sector growth offset the declines.

For heavy industry, pulp and paper electricity use was 15 percent ahead of forecast, but wood manufacturing was 16 percent below forecast. The briefing note said oil and gas grew nine percent relative to the previous year but, alongside ongoing LNG power demand, fell nine percent below the service plan.

 

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Report call for major changes to operation of Nova Scotia's power grid

Nova Scotia Energy Modernization Act proposes an independent system operator, focused energy regulation, coal phase-out by 2030, renewable integration, transmission upgrades, and competitive market access to boost consumer trust and grid reliability across the province.

 

Key Points

Legislation to create an independent system operator and energy regulator, enabling coal phase-out and renewable integration.

✅ Transfers grid control from Nova Scotia Power to an ISO

✅ Establishes a focused energy regulator for multi-sector oversight

✅ Accelerates coal retirement, renewables build-out, and grid upgrades

 

Nova Scotia is poised for a significant overhaul in how its electricity grid operates, with the electricity market headed for a reshuffle as the province vows changes, following a government announcement that will strip the current electric utility of its grid access control. This move is part of a broader initiative to help the province achieve its ambitious energy objectives, including the cessation of coal usage by 2030.

The announcement came from Tory Rushton, the Minister of Natural Resources, who highlighted the recommendations from the Clean Electricity Task Force's report to make the electricity system more accountable to Nova Scotians according to the authors. The report suggests the creation of two distinct entities: an autonomous system operator for energy system planning and an independent body for energy regulation.

Minister Rushton expressed the government's agreement with these recommendations, while the premier had earlier urged regulators to reject a 14% rate hike to protect customers, stating plans to introduce a new Energy Modernization Act in the next legislative session.

Under the proposed changes, Nova Scotia Power, a privately-owned entity, will retain its operational role but will relinquish control over the electricity grid. This responsibility will shift to an independent system operator, aiming to foster competitive practices essential for phasing out coal—currently a major source of the province’s electricity.

Additionally, the existing Utility and Review Board, which recently approved a 14% rate increase despite political opposition, will undergo rebranding to become the Nova Scotia Regulatory and Appeals Board, reflecting a broader mandate beyond energy. Its electricity-related duties will be transferred to the newly proposed Nova Scotia Energy Board, which will oversee various energy sectors including electricity, natural gas, and retail gasoline.

The task force, led by Alison Scott, a former deputy energy minister, and John MacIsaac, an ex-executive of Nalcor Energy, was established by the province in April 2023 to determine the needs of the electrical system in meeting Nova Scotia's environmental goals.

Minister Rushton praised the report for providing a clear direction towards achieving the province's 2030 environmental targets and beyond. He estimated that establishing the recommended bodies would take 18 months to two years, and noted the government cannot order the utility to cut rates under current law, promising job security for current employees of Nova Scotia Power and the Utility and Review Board throughout the transition.

The report advocates for the new system operator to improve consumer trust by distancing electricity system decisions from Nova Scotia Power's corporate interests. It also critiques the current breadth of the Utility and Review Board's mandate as overly extensive for addressing the energy transition's long-term requirements.

Nova Scotia Power's president, Peter Gregg, welcomed the recommendations, emphasizing their role in the province's shift towards renewable energy, as neighboring jurisdictions like P.E.I. explore community generation to build resilience, he highlighted the importance of a focused energy regulator and a dedicated system operator in advancing essential projects for reliable customer service.

The task force's 12 recommendations also include the requirement for Nova Scotia Power to submit an annual asset management plan for regulatory approval and to produce reports on vegetation and wood pole management. It suggests the government assess Ontario's hydro policies for potential adaptation in Nova Scotia and calls for upgrades to the transmission grid infrastructure, with projected costs detailed by Stantec.

Alison Scott remarked on the comparative expense of coal power against renewable sources like wind, suggesting that investments in the grid to support renewables would be economically beneficial in the long run.

 

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BC Hydro says province sleeping in, showering less in pandemic

BC Hydro pandemic electricity trends reveal weekend-like energy consumption patterns: later morning demand, earlier evenings, more cooking, streaming on smart TVs, and work-from-home routines, with tips to conserve using laptops and small appliances.

 

Key Points

Weekend-like shifts in power demand from work-from-home routines: later mornings, earlier evenings, and more streaming.

✅ Later morning electricity demand; earlier evening peaks

✅ More cooking and baking; increased streaming after dinner

✅ Conservation tips: laptops, small appliances, smart TVs

 

The latest report on electricity usage in British Columbia reveals the COVID-19 pandemic has created an atmosphere where every day feels like a Saturday, a pattern also reflected in BC electricity demand during peak seasons.

BC Hydro says overall power usage hasn't changed much, but similar Ontario electricity demand shifts suggest regional differences, while Manitoba demand fell more noticeably, and a survey of 500 people shows daily routines have shifted dramatically since mid-March when pandemic-related closures began.

The hydro report says, with nearly 40 per cent of B.C. residents working from home, trends in residential electricity use confirm almost half are sleeping in and eating breakfast later, while about a quarter say they are showering less.

Those patterns more closely resemble what hydro says is typical weekend power consumption, and could influence time-of-use rates as electricity demand occurs later in the morning and earlier in the evening.

The report also finds many people are cooking and baking more than before the pandemic, preparing the evening meal earlier, streaming or viewing more television after dinner even as Ottawa's electricity consumption dipped earlier in the pandemic, and 80 per cent are going to bed later.

Although electricity use is normal for this time of year, hydro says homebound residents can conserve by using laptops instead of desktops, small appliances such as Instant Pots instead of ovens, and streaming movies or TV shows on a smart televisions instead of game consoles, even as Hydro One peak rates continue to shape consumption patterns elsewhere.

 

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Ontario introduces new fixed COVID-19 hydro rate

Ontario Electricity COVID-19 Recovery Rate sets a fixed price of 12.8 cents/kWh, replacing time-of-use billing and aligning costs across off-peak, mid-peak, and on-peak periods per Ontario Energy Board guidance through Oct. 31.

 

Key Points

A flat 12.8 cents/kWh electricity price in Ontario that temporarily replaces time-of-use rates from June 1 to Oct. 31.

✅ Fixed 12.8 cents/kWh, all hours, June 1 to Oct. 31

✅ Higher than off-peak 10.1, lower than mid/on-peak

✅ Based on Ontario Energy Board average cost

 

Ontario residents will now have to pay a fixed electricity price that is higher than the off-peak hydro rate many in the province have been allowed to pay so far due to the pandemic. 

The announcement, which was made in a news release on Saturday, comes after the Ontario government suspended the normal “time-of-use” billing system on March 24 and as electricity rates are about to change across Ontario. 

The government moved all customers onto the lowest winter rate in response to the pandemic as emergency measures meant more people would be at home during the middle of the day when electricity costs are the highest. 

Now, the government has introduced a new “COVID-19 recovery rate” of 12.8 cents per kilowatt hour at all times of the day. The fixed price will be in place from June 1 to Oct. 31. 

The fixed price is higher than the winter off-peak price, which stood at 10.1 per kilowatt hour. However, it is lower than the mid-peak rate of 14.4 per kilowatt hour and the high-peak rate of 20.8 per kilowatt hour, even though typical bills may rise as fixed pricing ends for many households. 

“Since March 24, 2020, we have invested just over $175 million to deliver emergency rate relief to residential, farm and small business electricity consumers by suspending time-of-use electricity pricing,” Greg Rickford, the minister of energy, northern development and mines, said in a news release. 

“This investment was made to protect the people of Ontario from a marked increase in electricity rates as they did their part by staying home to prevent the further spread of the virus.”

Rickford said that the COVID-19 recovery rate is based on the average cost of electricity set by the Ontario Energy Board. 

“This fixed rate will continue to suspend time-of-use prices in a fiscally responsible manner,” he said. "Consumers will have greater flexibility to use electricity when they need it without paying on-peak and mid-peak prices, and some may benefit from ultra-low electricity rates under new time-of-use options."

 

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Tackling climate change with machine learning: Covid-19 and the energy transition

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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The Impact of AI on Corporate Electricity Bills

AI Energy Consumption strains corporate electricity bills as data centers and HPC workloads run nonstop, driving carbon emissions. Efficiency upgrades, renewable energy, and algorithm optimization help control costs and enhance sustainability across industries.

 

Key Points

AI Energy Consumption is the power used by AI compute and data centers, impacting costs and sustainability.

✅ Optimize cooling, hardware, and workloads to cut kWh per inference

✅ Integrate on-site solar, wind, or PPAs to offset data center power

✅ Tune models and algorithms to reduce compute and latency

 

Artificial Intelligence (AI) is revolutionizing industries with its promise of increased efficiency and productivity. However, as businesses integrate AI technologies into their operations, there's a significant and often overlooked impact: the strain on corporate electricity bills.

AI's Growing Energy Demand

The adoption of AI entails the deployment of high-performance computing systems, data centers, and sophisticated algorithms that require substantial energy consumption. These systems operate around the clock, processing massive amounts of data and performing complex computations, and, much like the impact on utilities seen with major EV rollouts, contributing to a notable increase in electricity usage for businesses.

Industries Affected

Various sectors, including finance, healthcare, manufacturing, and technology, rely on AI-driven applications for tasks ranging from data analysis and predictive modeling to customer service automation and supply chain optimization, while manufacturing is influenced by ongoing electric motor market growth that increases electrified processes.

Cost Implications

The rise in electricity consumption due to AI deployments translates into higher operational costs for businesses. Corporate entities must budget accordingly for increased electricity bills, which can impact profit margins and financial planning, especially in regions experiencing electricity price volatility in Europe amid market reforms. Managing these costs effectively becomes crucial to maintaining competitiveness and sustainability in the marketplace.

Sustainability Challenges

The environmental impact of heightened electricity consumption cannot be overlooked. Increased energy demand from AI technologies contributes to carbon emissions and environmental footprints, alongside rising e-mobility demand forecasts that pressure grids, posing challenges for businesses striving to meet sustainability goals and regulatory requirements.

Mitigation Strategies

To address the escalating electricity bills associated with AI, businesses are exploring various mitigation strategies:

  1. Energy Efficiency Measures: Implementing energy-efficient practices, such as optimizing data center cooling systems, upgrading to energy-efficient hardware, and adopting smart energy management solutions, can help reduce electricity consumption.

  2. Renewable Energy Integration: Investing in renewable energy sources like solar or wind power and energy storage solutions to enhance flexibility can offset electricity costs and align with corporate sustainability initiatives.

  3. Algorithm Optimization: Fine-tuning AI algorithms to improve computational efficiency and reduce processing times can lower energy demands without compromising performance.

  4. Cost-Benefit Analysis: Conducting thorough cost-benefit analyses of AI deployments to assess energy consumption against operational benefits and potential rate impacts, informed by cases where EV adoption can benefit customers in broader electricity markets, helps businesses make informed decisions and prioritize energy-saving initiatives.

Future Outlook

As AI continues to evolve and permeate more aspects of business operations, the demand for electricity will likely intensify and may coincide with broader EV demand projections that increase grid loads. Balancing the benefits of AI-driven innovation with the challenges of increased energy consumption requires proactive energy management strategies and investments in sustainable technologies.

Conclusion

The integration of AI technologies presents significant opportunities for businesses to enhance productivity and competitiveness. However, the corresponding surge in electricity bills underscores the importance of proactive energy management and sustainability practices. By adopting energy-efficient measures, leveraging renewable energy sources, and optimizing AI deployments, businesses can mitigate cost impacts, reduce environmental footprints, and foster long-term operational resilience in an increasingly AI-driven economy.

 

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