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A methodology for Electric Power Load Forecasting

AEJ - Alexandria Engineering Journal, 2011
AbstractElectricity demand forecasting is a central and integral process for planning periodical operations and facility expansion in the electricity sector. Demand pattern is almost very complex due to the deregulation of energy markets. Therefore, finding an appropriate forecasting model for a specific electricity network is not an easy task ...
Hassan Soltan
exaly   +3 more sources

Ultra-short term power load forecasting based on CEEMDAN-SE and LSTM neural network

Energy and Buildings, 2023
exaly  

Short term and medium term power distribution load forecasting by neural networks

Energy Conversion and Management, 2005
Tankut Yalçınöz, U Eminoglu
exaly  

An optimized grey model for annual power load forecasting

Energy, 2016
Huiru Zhao, Sen Guo
exaly  

Power load probability density forecasting using Gaussian process quantile regression

Applied Energy, 2018
Meijun Qu
exaly  

Short‐term power load forecasting based on multi‐layer bidirectional recurrent neural network

IET Generation, Transmission and Distribution, 2019
Xianlun Tang
exaly  

Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm

Applied Energy, 2020
Azim Heydari, Meysam Majidi Nezhad, Elmira Pirshayan   +2 more
exaly  

A hybrid dynamic and fuzzy time series model for mid-term power load forecasting

International Journal of Electrical Power and Energy Systems, 2015
Woo-Joo Lee, Jinkyu Hong
exaly  

A similarity based hybrid GWO-SVM method of power system load forecasting for regional special event days in anomalous load situations in Assam, India

Sustainable Cities and Society, 2020
Mayur Barman
exaly  

Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting

Energy, 2019
Lulu Wen, Shanlin Yang, Xinhui Lu
exaly