[PDF][PDF] An Ensemble Model based on Deep Learning and Data Pre-processing for Short-Term Electrical Load Forecasting. Sustainability 2021, 13, 1694
Electricity load forecasting is one of the hot concerns of the current electricity market, and
many forecasting models are proposed to satisfy the market participants' needs. Most of the …
many forecasting models are proposed to satisfy the market participants' needs. Most of the …
An ensemble model based on deep learning and data preprocessing for short-term electrical load forecasting
Electricity load forecasting is one of the hot concerns of the current electricity market, and
many forecasting models are proposed to satisfy the market participants' needs. Most of the …
many forecasting models are proposed to satisfy the market participants' needs. Most of the …
Experimental investigation of variational mode decomposition and deep learning for short-term multi-horizon residential electric load forecasting
With the booming growth of advanced digital technologies, it has become possible for users
as well as distributors of energy to obtain detailed and timely information about the electricity …
as well as distributors of energy to obtain detailed and timely information about the electricity …
Hybrid Decomposition-Deep Learning Model for Energy Load Prediction
W Gomez, FK Wang - 2023 IEEE 5th Eurasia Conference on …, 2023 - ieeexplore.ieee.org
Energy data have a complex behavioral pattern due to many factors that influence the
energy market. Energy forecasting promotes the effective and reliable operation of power …
energy market. Energy forecasting promotes the effective and reliable operation of power …
A hybrid electric load forecasting model based on decomposition considering fisher information
W Xiao, L Mo, Z Xu, C Liu, Y Zhang - Applied Energy, 2024 - Elsevier
Accurate and efficient short-term load forecasting plays an important role in the stable
operation of power grids and the economic operation of society. Among those factors that …
operation of power grids and the economic operation of society. Among those factors that …
Short-term load forecasting based on CEEMDAN and Transformer
P Ran, K Dong, X Liu, J Wang - Electric Power Systems Research, 2023 - Elsevier
Short-term load forecasting (STLF) is an essential part of energy plan, and it is very
meaningful for energy management. Recently, some deep learning models have been …
meaningful for energy management. Recently, some deep learning models have been …
Multi-step ahead short-term electricity load forecasting using VMD-TCN and error correction strategy
F Zhou, H Zhou, Z Li, K Zhao - Energies, 2022 - mdpi.com
The electricity load forecasting plays a pivotal role in the operation of power utility
companies precise forecasting and is crucial to mitigate the challenges of supply and …
companies precise forecasting and is crucial to mitigate the challenges of supply and …
A framework for electricity load forecasting based on attention mechanism time series depthwise separable convolutional neural network
H Xu, F Hu, X Liang, G Zhao, M Abugunmi - Energy, 2024 - Elsevier
Electricity load exhibits daily and weekly cyclical patterns as well as random characteristics.
At present, prevailing deep learning models cannot learn electricity load cyclical and …
At present, prevailing deep learning models cannot learn electricity load cyclical and …
Day-ahead electricity load forecasting based on hybrid model of EEMD and Bidirectional LSTM
Load forecasting has always played a particularly important role in the power industry. In this
article, we proposed a hybrid model based on Ensemble Empirical Mode Decomposition …
article, we proposed a hybrid model based on Ensemble Empirical Mode Decomposition …
The Evolutionary Deep Learning Model for Electrical Load Forecasting
F Peng, D Li, T An, H Wang, C Tian… - … on Internet of Things …, 2020 - ieeexplore.ieee.org
Nowadays, data in power system have become big data and have attracted much attention
due to the huge treasure buried in them. There is a great demand for forecasting electrical …
due to the huge treasure buried in them. There is a great demand for forecasting electrical …