ListarESID_Articles por tema "neural networks"
Mostrando ítems 1-2 de 2
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A deep learning model for intra-day forecasting of solar irradiance using satellite-based estimations in the vicinity of a PV power plant
Elsevier (2021-03-25)This work proposes an intra-day forecasting model, which does not require to be trained or fed with real-time data measurements, for global horizontal irradiance (GHI) at a given location. The proposed model uses a series ... -
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 ...