D. Criado-Ramón

Accelerated Energy Forecasting Models with Metaheuristics for Swift Solutions in Building Management

D. Criado-Ramón, Maria Cojocaru, L. G. B. Ruiz, Lorenzo Servadei, Robert Wille, M. P. Cuéllar, et al.

This work presents a CUDA-accelerated methodology for training multiple neural networks in parallel using population-based metaheuristics. The goal is to obtain fast and accurate short-term energy-forecasting models for time-sensitive building-management applications. We evaluate…Read more