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New Jersey, Pennsylvania retool power load forecasting oversight

(The Center Square) – As electricity demand rises amid concerns about future supply, officials are pushing to modernize the region’s energy mix as reliability and affordability hang on the line. New ...
Power Technology

Redefining load forecasting and management: how AI is making smart grids smarter

AI’s power demands add strain to the grid, but its accuracy in terms of load forecasting offers huge potential efficiency gains. Credit: imaginima/iStock via Getty Images. AI represents a huge ...
IEEE

Mid-Term Load Forecasting with Minimal Data: An In-Context-Learning-Aware Approach Using Large Language Models

Abstract: Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require ...
IEEE

Hybrid Multi-Scale Deep Learning Enhanced Electricity Load Forecasting Using Attention-Based Convolutional Neural Network and LSTM Model

Abstract: Accurate electricity load forecasting is crucial for efficient grid management, resource allocation, and maintaining stability, particularly in the face of increasing climate variability and ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...