“Sixty-one percent of Americans believe that AI systems will prove valuable for their household electricity usage, according to the latest survey from the Smart Energy Consumer Collaborative (SECC). Among Americans who have experience with AI systems, such as ChatGPT and Midjourney, this figure rises to 76 percent. The ‘Computing Consumer Interest in AI’ survey – the latest installment in SECC’s Smart Energy Snapshot Series – was fielded to a nationally representative sample of 1,530 respondents in late June, SECC said.” Read more here: https://bit.ly/4cvINXw #SmartEnergy #ArtificialIntelligence #Utilities #EnergyEfficiency #Electricity
Smart Energy Consumer Collaborative (SECC)’s Post
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Oh yes it will! Here's another innovative way AI can be beneficial & educational. It's exciting to be sitting here on the board at Smart Energy Consumer Collaborative (SECC) and part of Smart Energy Water's Enterprise team working with the most innovative & customer centric utilities, munis & co-ops! #ai #customerengagement #connectedsolution #personalization #utilities #connectedjourney
“Sixty-one percent of Americans believe that AI systems will prove valuable for their household electricity usage, according to the latest survey from the Smart Energy Consumer Collaborative (SECC). Among Americans who have experience with AI systems, such as ChatGPT and Midjourney, this figure rises to 76 percent. The ‘Computing Consumer Interest in AI’ survey – the latest installment in SECC’s Smart Energy Snapshot Series – was fielded to a nationally representative sample of 1,530 respondents in late June, SECC said.” Read more here: https://bit.ly/4cvINXw #SmartEnergy #ArtificialIntelligence #Utilities #EnergyEfficiency #Electricity
Will AI help reduce electricity usage? Most Americans seem to think so
https://www.power-grid.com
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The Ongoing Evolution of Data Center Energy Consumption. Mitigate AI's fast-growing power consumption and grid impacts and explore AI's role in the evolution of data centers and the clean energy transition. We all know data centers play a central role in our digital lives. The devices we use, the time we spend online, the apps we rely on, and the content we consume all depend on data centers. This has led to rapid growth in demand for electricity to keep it all up and running. #ThermalComfortinBuildings #AutomotiveCabinComfort #DataCenterCooling #ThermalManagementinelectronics #BiomechanicsandBiomedicalApplications #Aeroacoustics #EnvironmentalandClimateModeling #UrbanAirflowandPollutionControl #Gasturbineselectrification #Electrificationforagriculturalequipments #IndustrialMixingandChemicalProcessing #Fannoisecontrol
The Ongoing Evolution of Data Center Energy Consumption
datacenterknowledge.com
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AI has led to a surge in electricity consumption, and research shows that the power required by data centers across the United States is expected to nearly triple in the next three years.
AI has led to a surge in electricity consumption, and research shows that the power required by data centers across the United States is expected to nearly triple in the next three years.
xenluo.xyz
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Data centers will “eat” the grid, warns Schneider Electric in a study Schneider Electric has cautioned policymakers to carefully guide the electricity consumption by AI data centers and prevent it from spiraling out of hand. This comes as AI data centers’ energy consumption is reportedly continuing to increase due to surging demand… https://lnkd.in/gyKkdva9 #datacenterboom #energyconsumption #gridinnovation #sustainabletech #digitalinfrastructure
Data centers will “eat” the grid, warns Schneider Electric in a study
https://coinucation.com
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At the end of October, BT announced it expanded its Carbon Network Dashboard to include electricity consumption and carbon emissions on an individual and application level. These insights are designed to help identify areas of wasted electricity through energy-intensive applications. With the rapid adoption of AI tools and software, this is incredibly useful for businesses aiming to reduce their emissions. Without valuable data, your business will be operating blind about its environmental impact. If you need advice on being able to support a more robust infrastructure, see what Comwire can do for you. Read the full article through the link in the comments. #CarbonEmissions #AI #Infrastructure #DataInsights #Telecoms
BT helps customers keep a lid on AI carbon emissions
newsroom.bt.com
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🌍 AI and RAN: Transforming Networks for a Sustainable Future 🌍 Communications service providers (CSPs) are at a pivotal point in the 5G cycle. Leveraging Artificial Intelligence (🤖) in Radio Access Networks (RAN) can not only improve customer experience but also optimize energy efficiency (🔋), paving the way to meet Net Zero (♻️) goals. Key takeaways: 1️⃣ AI-driven energy savings: Ericsson’s AI-powered solutions helped Umniah Jordan save 20% in daily energy consumption 2️⃣ Real-time AI learning: AI can forecast traffic and optimize energy use, like Vodafone’s 14% energy savings by turning down unnecessary components while maintaining KPIs. 🔑 The future of networks will rely on zero-touch automation (⚙️), with AI learning from past data to predict future needs and optimize the present. 📢 Call to Action: As AI continues to evolve, it provides opportunities for CSPs to align sustainability and network modernization goals for long-term success. Let's collaborate and innovate towards a sustainable 5G and 6G future! 🌱 #AI #Sustainability #5G #NetZero Ciricia Proulx | Ayodele Damola | Sean Kinney | RCR Wireless News | Jeepal Shah | Simon McPhillips | Krista Wald | Peter Linder | Mohit Malhan
How will AI drive 5G RAN energy efficiency?
https://www.rcrwireless.com
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The Bloomberg article "AI Needs So Much Electricity That It’s Making Yours Worse" examines the impact of AI's rapid expansion on electricity infrastructure and power quality. Data centers, essential to AI operations, consume enormous amounts of energy, creating challenges for power grids and nearby households. Key Issues Power Quality Distortions AI data centers draw uneven electricity, creating "bad harmonics" that destabilize voltage. These disruptions cause power surges and sags, directly impacting homes and businesses near data centers. Impact on Appliances Power instability harms sensitive devices like HVAC systems, shortening their lifespan and increasing risks of overheating and fires. Proximity to Data Centers Regions within 50 miles of major data centers report 75% of the U.S.’s power distortions, underscoring the local impact of AI facilities on grid reliability. Strain on Infrastructure Grids, designed for steady demand, struggle to manage AI’s irregular energy consumption. Addressing these challenges often requires costly upgrades to transmission lines and management systems. Safety and Property Risks Unstable voltage risks electrical damage, blown fuses, and property fires, putting pressure on utilities to resolve these issues. Policy and Solutions The article calls for smarter grid management, infrastructure investments, and collaboration among energy providers, policymakers, and AI companies to ensure reliable electricity. On-Site Power as a Solution While many centers rely on the grid, on-site power solutions like Cordia's Energy-as-a-Service (EaaS) offer a practical alternative to resolve these challenges. Rather than relying on grid power, AI data centers can adopt on-site power solutions to ensure reliability, reduce costs, and minimize infrastructure strain. Cordia’s EaaS model offers the ideal solution: Reliability: Guarantees 99.999% uptime, eliminating risks from grid outages. Fixed Rates: Provides stable, long-term pricing for 20-40 years, shielding clients from price fluctuations and peak charges. No Upfront Costs: Cordia finances, develops, and operates the system, assuming all financial and operational risks. By switching to on-site power, data centers can meet energy needs sustainably without compromising reliability. Cordia’s EaaS not only reduces grid strain but also ensures cost-effective, reliable energy for AI operations—empowering innovation while protecting households and communities. https://lnkd.in/gDFXzrBb
AI Needs So Much Power, It’s Making Yours Worse
bloomberg.com
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An important new call for evidence relating to smart energy data innovation, potentially introducing a comparable framework to Open Banking. Read more in my post with links to DESNZ page at https://lnkd.in/eRQ5MBBF
"Potential new smart data scheme to drive innovation and support consumers in the energy market" says Michael Shanks, Minister for Energy Another part of the future consumer energy landscape arrives with this new call for evidence relating to a Consumer Smart Energy Open Data model comparable with Open Banking. It is published by Department for Energy Security and Net Zero today at https://lnkd.in/euKMZh7V. Their LinkedIn post here is at https://lnkd.in/evRd7Sv8 This is the next step on from today's DCC 'Other User' service into a wider framework of secure data access between consumers and innovating providers on the basis of consent given consistently. It is an area I worked on extensively at PA Consulting and now as Coylenergy ltd. In my work I engage on the building blocks emerging across data access, consent, sharing, flexibility frameworks and more to consider the new consumer energy technical foundation to combine with technology provider innovation in tariffs, technology and business models. It is interesting this is published today when the Prime Minister launches the AI Opportunities Action Plan at https://lnkd.in/e4vmQ4N8. The shift to combine artificial and human intelligence is underway, as we can see in such as the Grid Foundational AI models described by Smart Energy International at https://lnkd.in/ezrpF328. This now means we need to focus on the delivering benefit balanced in equal part with mitigating new risks of data access, accuracy verification, cyber security and unintended operational outcomes. Also see: Current-news.co.uk - https://lnkd.in/egtrv-GB The Energyst - https://lnkd.in/eJq9uthb BusinessGreen - https://lnkd.in/eSwcxTwa edie - https://lnkd.in/e44uhRPR (both AI and consumer smart data topics) At our winter newsletter my top tip for 2025 was 'Energy sector policy into action' especially in relation to the new market framework that underpins consumer innovation and their contribution to the wider energy system. Read more at https://lnkd.in/epkMEeBz I am speaking about the shift into a 4th wave of our society combining human and artificial intelligence for consumer energy benefit at DDC Discusses on 5th February at the Science Museum. See more at https://lnkd.in/e9KiBpgT and https://lnkd.in/e4mJjtgW. For those in my network seeking to join us there as part of a wide group of technology companies, consumer advocates, advisors and innovators let me know at [email protected]. This is the start of a sector wide focus on this next era of energy benefit. (PS, apologies for the low-resolution image, it is the one DESNZ used at first and is seems LinkedIn does not allow it to be replaced after posting). #smartenergy #consumerenergy #smartmeters #DERS #energyflexibility
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Our latest analysis highlights a growing energy dilemma: As AI demand surges, 60% of global tech and energy providers agree that the U.S. must accelerate its energy efforts. Meanwhile, 55% of hyperscalers/data center developers are prepared to pay 50% more for electricity to meet the challenge. What steps need to be taken to bridge the energy gap and fuel the future? Find out more here: https://ow.ly/hEV150UjYby
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A single ChatGPT request uses 10x the energy of a typical Google search, according to the IEA. So where is the power going to come from? How do we accelerate energy deplyment and grid connections to meet this growing demand? A new survey from KPMG US makes thought provoking reading on the challenges and opportunities ahead 👇
Our latest analysis highlights a growing energy dilemma: As AI demand surges, 60% of global tech and energy providers agree that the U.S. must accelerate its energy efforts. Meanwhile, 55% of hyperscalers/data center developers are prepared to pay 50% more for electricity to meet the challenge. What steps need to be taken to bridge the energy gap and fuel the future? Find out more here: https://ow.ly/hEV150UjYby
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