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Recently in Public Power Current
Smart meters can provide an entry point for hackers to destabilize the electric grid, according to a study by researchers at Oregon State University.
The American Public Power Association’s Demonstration of Energy & Efficiency program on April 18, 2023, selected Paul Eory, Manager of Strategy & Planning, Lansing Board of Water & Light (Michigan), to fill a vacant seat on the program’s committee. Eory will represent Region 10, comprising all DEED
The American Public Power Association supports efforts in Congress to streamline the federal permitting and siting process, eliminate excessive regulatory barriers, and ensure more predictable and timely decisions from relevant federal agencies, it said in a Statement for the Record submitted to the Senate Energy and Natural Resources Committee.
EarthBridge Energy has acquired acreage in West Texas for an energy storage project the Houston based company plans to develop.
Enchanted Rock LLC recently began construction of a 48-megawatt power generating unit adjacent to the City of Lodi Water Treatment Plant in Lodi, Calif. The power plant is scheduled to be operational by the end of summer 2023.
The Environmental Protection Agency on May 11 issued its long-awaited proposed rules to limit carbon dioxide emissions from the new, existing, modified, and reconstructed power plants. The rules would regulate new gas-fired combustion turbines, existing coal plants and certain large and base-loaded existing gas plants.
Maryland Governor Wes Moore on May 8 signed into law a bill that establishes a 3,000-megawatt target for energy storage and requires the Maryland Public Service Commission to develop a cost-effective procurement program. The measure, H.B. 910, calls for the PSC to establish targets for the cost
Researchers at Drexel University in Philadelphia have developed a way to use machine learning to aid energy reduction strategies in an urban setting. In a study, Performance evaluation of deep learning architectures for load and temperature forecasting under dataset size constraints and seasonality