ListarDepartament: Enginyeria de Sistemes Industrials i Disseny por tema "Forecasting"
Mostrando ítems 1-3 de 3
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A Data-centric Approach for a Day-ahead System Non-Synchronous Penetration Forecast
Institute of Electrical and Electronics Engineers Inc. (2024-02-02)This paper presents a novel data-centric approach to predict the day-ahead system non-synchronous penetration (SNSP) ratio in the Irish power system. The proposed method uses a deep learning algorithm, based on feedforward ... -
Deep learning-based forecasting of aggregated CSP production
Elsevier (2020-02-25)This paper introduces deep learning-based forecasting models for the continuous prediction of the aggregated production generated by CSP plants in Spain. These models use as inputs the expected top of atmosphere ... -
Deep learning-based forecasting of the automatic Frequency Reserve Restoration band price in the Iberian electricity market
Elsevier (2023)The replacement of conventional and dispatchable generation technologies by intermittent renewable energy sources increases the need for ancillary services. New agents, such as batteries, may join frequency regulation ...