ListarDepartament: Enginyeria de Sistemes Industrials i Disseny por tema "machine learning"
Mostrando ítems 1-2 de 2
-
Data-driven approach for day-ahead System Non-Synchronous Penetration forecasting: A comprehensive framework, model development and analysis
Elsevier (2024-05-15)This article presents a comprehensive, innovative, and data-driven approach for predicting System Non-Synchronous Penetration (SNSP) levels. It consists of iterative steps that involve data analytics and forecasting model ... -
Secondary Reserve Marginal Band Price Prediction with Classical and Machine Learning Based Techniques
IEEE (2023)As a consequence of the continuous growth being experienced by renewable energy systems, the role of the different ancillary services is becoming essential for the reliable operation of the electric system. This paper ...