Πλοήγηση ανά Θέμα "Load forecasting"
Αποτελέσματα 1-7 από 7
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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 ... -
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 ... -
Combined forecasting system for short-term bus load forecasting based on clustering and neural networks
(2020)Micro-grids as 'micro-graphs' of the power systems involve the management of small loads, either isolated or connected to the main grid. Load forecasting is a tool of fundamental importance in power systems design and ... -
A Comparison of Feature Selection Techniques for Neural Network Based Load Forecasting
(2019)The performance of neural networks in load forecasting tasks is highly influenced by the selection of the inputs. This selection is either problem specific or is relied on the literature. The scope of the present study is ... -
Enhanced short-term load forecasting using artificial neural networks
(2021)The modernization and optimization of current power systems are the objectives of research and development in the energy sector, which is motivated by the ever-increasing electricity demands. The goal of such research and ... -
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 ... -
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 ...