IEEE

Short-Term Day-Ahead Hydrothermal Scheduling with Energy Renewables Variable, Storage, Load Shedding using Artificial Intelligence Techniques for Demand Forecasting

Abstract: Short-Term Hydrothermal Scheduling (STHS) is a very complex, multimodal, nonlinear optimization problem that has primarily been addressed by conventional and, more recently, metaheuristic ...
IEEE

GAF-TCN NILM: A Novel Approach to Non-Intrusive Load Monitoring Using Image Analysis with Gramian Angular Field and Temporal Convolutional Networks

Abstract: Accurately disaggregating household energy consumption into individual appliance usage is a vital aspect of Non-intrusive Load Monitoring (NILM), crucial for optimizing energy efficiency and ...
Harvard Business Review

AI Doesn’t Reduce Work—It Intensifies It

Right now, many companies are worried about how to get more employees to use AI. After all, the promise of AI reducing the burden of some work—drafting routine documents, summarizing information, and ...