Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
Abstract: Accurate Short-Term Load Forecasting (STLF) is essential for effective operational planning, particularly for optimizing maintenance schedules, managing power generation capacity, and ...
A research collaboration between the University of Connecticut and Eversource aims to change the way utilities prepare for outages, using the power of artificial intelligence (AI) to improve weather ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
The Federal Energy Regulatory Commission (FERC) on Sept. 18 advanced four reliability measures for the U.S. bulk power system (BPS), formalizing frameworks around supply chain risk, cloud computing ...
MUCH OF THE art of medicine involves working out, through detailed questioning and physical examination, which disease a given patient has contracted. Far harder, but no less desirable, would be ...
1 Department of Electrical/Electronic Engineering, NAHPI, University of Bamenda, Bamenda, Cameroon. 2 Electrical Engineering, Mechatronics, and Signal Processing Laboratory, ENSPY, UY-I, Yaounde, ...