Listar por tema "Multilayers perceptrons"
Mostrando ítems 1-5 de 5
-
Clustering Informed MLP Models for Fast and Accurate Short-Term Load Forecasting
(2022)The stable and efficient operation of power systems requires them to be optimized, which, given the growing availability of load data, relies on load forecasting methods. Fast and highly accurate Short-Term Load Forecasting ... -
Energy Use Forecasting with the Use of a Nested Structure Based on Fuzzy Cognitive Maps and Artificial Neural Networks
(2022)The aim of this paper is to present a novel approach to energy use forecasting. We propose a nested fuzzy cognitive map in which each concept at a higher level can be decomposed into another fuzzy cognitive map, multilayer ... -
Feed Forward Neural Network Sparsification with Dynamic Pruning
(2021)A recent hot research topic in deep learning concerns the reduction of the model size of a neural network by pruning, in order to minimize its training and inference cost and thus, being capable of running on devices with ... -
Stochastic Heuristic Optimization of Machine Learning Estimators for Short-Term Wind Power Forecasting
(2022)The continuous fluctuation of wind speed, wind direction and other climatic variables affects the power produced by wind turbines. Accurate short-term wind power prediction models are vital for the power industry to evaluate ... -
Use of Artificial Neural Networks for Short Term Load Forecasting
(2021)In order to schedule an effective service and economical capital extension of an electric power distribution system, the system administrator must be able to predict the need for power delivery. Short Term Load Forecasting ...