Short-term load estimation based on improved DBN-LSTM
Sustainable Energy ResearchAiming at the rapid change and low forecasting accuracy of short-term power load forecasting, a forecasting model based on the improved deep belief network and long short-term memory network is proposed.
Nan Dong +3 more
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Short-term load forecasting using a metaheuristic optimized temporal fusion transformer with decomposition technique. [PDF]
Front Artif IntellChandrasekaran R, Paramasivan SK.
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Deep residual networks with convolutional feature extraction for short-term load forecasting. [PDF]
Sci RepLiu J +4 more
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An Hour-Specific Hybrid DNN-SVR Framework for National-Scale Short-Term Load Forecasting. [PDF]
Sensors (Basel)Čeperić E, Lenac K.
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Mini-batch size sensitivity in deep residual networks for short-term load forecasting: an empirical study. [PDF]
Sci RepLiu J +4 more
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A comparative evaluation of gradient-based optimization algorithms for short-term load forecasting using deep residual networks. [PDF]
Sci RepLiu J +4 more
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A short-term load forecasting framework for air conditioning system based on model stacking. [PDF]
Sci RepLiu T +5 more
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A novel parametric scaled exponential linear unit activation function for deep residual networks in short-term load forecasting. [PDF]
Sci RepLiu J +4 more
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A robust solution for power grid management using a hybrid deterministic and probabilistic model for short term load forecasting. [PDF]
Sci RepSerttas F.
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