Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Leaders from the U.S. Army Corps of Engineers (USACE), Sonoma County Water Agency (Sonoma Water), UC San Diego’s Scripps Institution of Oceanography Center of Western Weather and Water Extremes (CW3E) ...

1 China Southern Power Grid Guizhou Power Supply Co., Ltd., Guiyang, Guizhou, China 2 Dongfang Electronics Co., Ltd., Yantai, Shandong, China Introduction: With increasing uncertainties on both the ...

Abstract: The supply chain of food is essential for product quality, minimizing waste, and increasing timely delivery. This project offers a machine learning system based on RF, SVM, KNN, and XGBoost ...

Utilities, states, and ISOs are aware of the challenges with long-term load and distributed energy resource (DER) forecasting, but the traditional focus on total annual energy and peak demand for this ...

A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods. The tool, created with federal support by researchers at Johns Hopkins and Duke ...

As some forecast offices halt overnight staffing, the National Weather Service is scrambling to reassign staffers internally and fill more than 150 positions to cover critical employment holes. The ...

The Central Bank of Suriname (CBvS) undertook significant steps to modernize its monetary policy framework by shifting from an exchange rate regime to a monetary targeting regime in 2021. The main ...

May 1 (Reuters) - Commercial real estate investment trust Kimco Realty (KIM.N), opens new tab on Thursday raised its forecast for annual funds from operations, after beating first-quarter revenue ...