Parcourir par sujet "Electric load forecasting"
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Application of deep learning and chaos theory for load forecasting in Greece
(2021)In this paper, a novel combination of deep learning recurrent neural network and Lyapunov time is proposed to forecast the consumption of electricity load, in Greece, in normal/abrupt change value areas. Our method verifies ... -
Day-ahead electricity price forecasting using optimized multiple-regression of relevance vector machines
(2012)In deregulated, auction-based, electricity markets price forecasting is an essential participant tool for developing bidding strategies. In this paper, a day-ahead intelligent forecasting method for electricity prices is ... -
Short-term Electric Load Forecasting using Engineering and Deep Learning techniques
(2022)Load forecasting in the energy sector is an integral part of the electrical system as it is a criterion for its smooth and sustainable operation. The liberalization of electricity, the entry of RES into production and the ...