AI

  • AI and the Energy Transition: Building a Smarter, Decarbonized Energy System

    Solar energy generation from a rooftop panel system can be monitored quickly and easily, an example of how artificial intelligence (AI) and digital tools are empowering businesses to optimize energy use and contribute to a decentralized, decarbonized grid. The energy transition is accelerating. Electrification is surging, renewable power generation is expanding and energy consumption patterns […]

  • Transforming Energy Finance Through AI-Driven Processes

    The power and utility sector underpins every part of modern life, from residential comfort to industrial productivity. Yet, as the global energy landscape evolves, so must the internal operations that keep these organizations running. COMMENTARY With total U.S. power use expected to reach around 4,189 billion kWh in 2025, and 4,278 billion kWh in 2026, […]

  • 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

  • Smart Strategies for Energy Suppliers in the Data Center Boom

    Data center demands are shifting rapidly in today’s energy landscape. A customer that signed on for 10 MW just months ago may now be requesting 40. For energy suppliers across the country, scenarios like this are becoming the new normal as artificial intelligence (AI) infrastructure accelerates load growth and turns predictable load patterns into risky […]

  • 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 […]

  • Oracle, Bloom Energy Have Deal to Power Data Centers

    California-based power solutions provider Bloom Energy said it will deploy its fuel cell technology at select Oracle Cloud Infrastructure (OCI) data centers in the U.S. The company on July 24 said it will deliver on-site power for an entire data center within 90 days. “We continue to see strong global demand for OCI services across […]

  • 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.

  • 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

  • Groups Partnering to Develop AI Software to Speed Nuclear Reactor Construction

    A software group that uses artificial intelligence (AI) to help automate processes said it was joining with a nuclear power deployment company on an AI-driven system to accelerate construction of nuclear reactors. Palantir Technologies on June 26 said it will work with The Nuclear Company, a nuclear power startup, to jointly create a nuclear operating […]

  • 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 […]

  • Enverus Releases 2025 Interconnection Queue Outlook

    Enverus, an energy-dedicated, software-as-a-service company that leverages generative artificial intelligence across its solutions, has released its 2025 Interconnection Queue Outlook, a comprehensive collection of power generation and transmission projects that show requests to connect to the U.S. power grid.

  • 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.

  • 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 […]

  • 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.

  • Generative AI at the Edge: Revolutionizing the Power Industry’s Control Layer

    Localized intelligence will reshape energy operations, enabling edge-based generative artificial intelligence (AI) models to deliver precision, agility, and control at every layer of power operations. For