artificial intelligence

  • How Smarter Cooling Choices Can Cut AI’s Energy Use

    Artificial intelligence (AI) is evolving, and so is the demand for the infrastructure behind it. However, for those looking to build a sustainably conscious system, this growth raises a crucial question: What does an energy-efficient data center system look like? While rightfully, much of the attention has focused on controlling energy usage of bigger systems […]

  • Building ChatGPT for the Power Industry: EPRI Leads the Way

    More than 100 of the world’s largest energy companies are betting that artificial intelligence (AI) will revolutionize how electricity gets made, moved, and managed. But they’re not waiting for Silicon Valley to build it for them—they’ve taken matters into their own hands through an EPRI-led consortium. That initiative is the Open Power AI Consortium, which […]

  • Creating a Living Asset: The Role of AI-Enhanced Digital Twins in Autonomous Operations

    The convergence of artificial intelligence and digital twin technology is emerging as a transformative solution, enabling power producers to shift from static control systems to dynamic, self-optimizing

  • When AI-First Becomes Practice, Your Energy Grid Better Be Ready

    From healthcare to aviation, artificial intelligence (AI) is increasingly being used to close operational gaps and garner efficiencies in key industries. Indeed, 78% of respondents in McKinsey’s State of AI Survey for 2025 indicated that their organization is using AI for at least one business function. This year and beyond, the question of AI adoption […]

  • Virtual Power Plants: How to Power the Energy Economy by Stretching Today’s Grid

    The challenge posed by surging demand for electricity from data centers and high-performance computing facilities presents an ideal time for innovative energy solutions that efficiently improve grid reliability and increase the availability of clean, affordable electricity. Not only does the U.S. risk missing more than $100 billion of artificial intelligence (AI) market growth over the […]

  • Unlocking Opportunities in AI Through Power Demand, Administration’s Initiatives

    The U.S. is bracing for a reality where artificial intelligence and data centers overwhelm the power grid, and rightfully so, as America seeks to lead the global AI race. But this push is coming at the same time that the federal government is reshuffling fiscal priorities and prioritizing energy independence. While that dynamic may seem like a challenging juxtaposition, one thing is clear: regardless of political affiliation or preferred priority, if the U.S. wants to lead the world in AI, it must power it first.

  • Taiwan’s Tech Industry Driving Country’s Energy Demand

    Taiwan is among several countries experiencing an energy crisis, with its supply of power struggling to keep up with demand from a rapidly growing high-tech sector. The country has long depended on imported

  • Unlocking Power Plant Efficiency: How AI Models Are Revolutionizing Heat Rate Optimization

    Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by 1.5% to

  • AI on the Edge: Can Distributed Computing Disrupt the Data Center Boom?

    As artificial intelligence (AI) usage and sophistication grows, questions about the sustainability of the traditional model of utilizing huge, centralized data centers are frequently raised. Hyperscale data centers handle most AI workloads today, but they come with high energy demands and environmental costs.

  • Three Strategies for Seamlessly Incorporating AI into the Modern Energy Equation

    In the ongoing effort to improve the profitability of energy production and delivery while mitigating the risks, companies are incorporating artificial intelligence (AI) to drive more powerful, effective analytics. This technological leap is critical as the industry navigates evolving demands, embraces new sources, and strives for greater efficiency, reliability, and sustainability. However, some energy companies […]

  • ABB, Applied Digital Launch Power Solution for Data Centers

    Applied Digital, a builder and operator of next-generation data centers, has launched an infrastructure partnership with ABB at the company’s Greenfield 400-MW campus in North Dakota. TRhe collaboration will innovate fast, reliable, energy-efficient solutions to meet the rapid advancement of artificial intelligence (AI).

  • Hitachi, Southwest Power Pool Join to Develop AI-Based Grid Solution

    The Southwest Power Pool (SPP) regional transmission organization (RTO) is joining with energy technology company Hitachi on development of what the groups say is an artificial intelligence (AI)-based solution to support power transmission reliability and flexibility challenges.

  • Why Grid Hardening Needs to Be Smarter, Not Just Stronger

    While many utilities are hardening power grid infrastructure by upgrading poles and wires—a necessary step—brute force solutions alone won’t be enough. To truly future-proof the grid, resilience must be rooted in intelligence via systems that anticipate, adapt, and respond dynamically.

  • The Outlook for Energy M&A Amid Global Tariff War

    The uncertainty surrounding the global tariff war is reshaping the landscape of mergers and acquisitions (M&A) within the energy sector. This dynamic environment presents both challenges and opportunities for investors, compelling them to navigate a complex web of trade policies, supply chain disruptions, and geopolitical shifts.

  • AES, Meta Sign PPAs for 650 MW of Solar Power in Kansas and Texas

    AES Corp. announced the company has entered into two long-term power purchase agreements (PPAs) to support tech company Meta’s data centers. The deal announced May 21 is for 650 MW of generation from solar projects that AES is bringing online in Texas and Kansas, serving the Southwest Power Pool market.

  • World’s First Fleet of 100 5G-A Autonomous Electric Mining Trucks Launched at Yimin Mine

    A fleet of 100 Huaneng Ruichi autonomous electric mining trucks, the first of its kind in the world, has officially entered operation at the Yimin open-pit mine in Inner Mongolia, China. Powered by a 5G-Advanced (5G-A) network, the mine became the world’s first open-pit mine to achieve large-scale vehicle-cloud-network synergy, which has greatly improved production […]

  • Artificial Intelligence’s Thirst for Power Demands Greater Focus on Cybersecurity of the Energy Sector

    Behind the scenes of every new artificial intelligence (AI) app and program is a staggering amount of energy needed to power its data centers. We’re already in the throes of the AI revolution and with

  • Modernizing Hydropower to Maximize Its Potential

    As wind and solar dominate global investment in renewable energy, hydropower’s potential to enhance grid resilience and expand energy supply remains largely untapped, and that potential is only expanding with the integration of advanced technologies like artificial intelligence (AI).

  • Why Utility Fleets Still Struggle to Harness True TCO Intelligence

    In an era where grid modernization, decarbonization, and electrification dominate utility agendas, fleet management strategies are lagging behind. Many utility and power generation providers continue to rely on outdated vehicle management platforms that lack the advanced total cost of ownership (TCO) analytics needed to support today’s evolving operational and sustainability goals.

  • Innovative Solutions Imperative to Meet Data Center Energy Demand

    Today’s data centers, the workhorses of our digital economy, face a paradox. While they are asked to fuel the rapid advancement of generative AI, they must do so under increasingly tight energy budgets, with sustainability mandates and power constraints threatening to slow innovation. The question isn’t whether AI will transform industries—it already is—but whether our infrastructure can keep up without buckling under the weight of AI’s energy appetite.

  • PJM Taps Google and Tapestry to Use AI for Grid Interconnection Planning

    PJM, the largest grid operator in North America, has launched a multiyear partnership with tech giant Google and its Alphabet X moonshot Tapestry to streamline PJM’s grid interconnection process using artificial intelligence (AI) tools. The companies said the effort could significantly improve planning and decision-making as grid pressures intensify. Under the initiative, announced on April […]

  • Addressing Data Center Growth Constraints Key to U.S. Innovation, Leadership in AI

    As the artificial intelligence (AI) boom drives exponential demand for data centers, the United States’ position as an AI leader is at risk without immediate action to address growth constraints.

  • AI-Driven Predictive Maintenance: The Future of Reliability in Power Plants

    Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of real-time data, AI models can identify anomalies in equipment behavior, optimize fuel consumption, and enhance overall plant performance. According to industry estimates, AI-driven analytics can reduce maintenance costs by […]

  • More Natural Gas-Fired Plants Planned to Support Ohio Data Centers

    An Ohio town known as a hub for the burgeoning data center industry may soon have one or more new natural gas-fired power plants to support the area’s need for energy.

  • Mitigating the Business Risks of AI for Utilities

    Electric utilities are facing numerous converging challenges posing major complications to the way they manage their infrastructure, manage their operations, and meet evolving customer needs. The increasing frequency of storms and wildfires are pressing issues. Aging infrastructure and a graying workforce create additional vulnerabilities. And other challenges include unprecedented increases in demand, supply chain disruptions […]

  • The Security Imperative for Data Centers in an Innovation-Driven World

    Data centers serve as the silent backbone of our daily lives, the epicenter of digital communication, corporate data, and countless innovations including artificial intelligence (AI), cloud computing, and the Internet of Things. To ensure maximum uptime, data centers rely on robust security and consistent utility infrastructure—critical considerations in the design and development of data center […]

  • AI Infrastructure Group Will Build 300-MW Data Center in New Jersey

    A Netherlands-headquartered company focused on building infrastructure for the artificial intelligence (AI) sector said it plans to build a new data center in New Jersey. Nebius Group, based in Amsterdam, said the facility would be part of a phased development that would be expandable up to a total capacity of 300 MW.

  • The SMR Gamble: Betting on Nuclear to Fuel the Data Center Boom

    Data center power demand is accelerating, pushing the grid to its limits and prompting tech giants to bet on next-generation nuclear reactors. But given steep costs, regulatory hurdles, and uncertain

  • AI and NLP: Driving the Next Generation of Energy Management Systems

    Artificial intelligence (AI) and natural language processing (NLP) promise to transform the energy sector by enhancing efficiency, optimising power systems, and improving consumer engagement. AI can enable grid operators to predict demand, optimise renewable integration, and enhance grid stability. Meanwhile, NLP helps extract insights from policy documents, technical reports, and consumer feedback, making energy systems […]

  • The POWER Interview: Using Data, Device Models, and More to Support the Grid

    Amanda Neuenfeldt is the energy management system (EMS) modeling lead engineer at Actalent, a global company specializing in engineering and sciences services, along with talent solutions. Neuenfeldt works with emerging grid technologies related to artificial intelligence (AI), machine learning (ML), and cybersecurity. She has studied the application of a predictive machine learning algorithm, coupled with […]