Abstract
Yao Dong, He Jiang, Jianzhou Wang, Sheng Pan
Abstract
Authors
Institutions
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10.1016/j.compind.2025.104352 · doi-reference
Methods and models for electric load forecasting: a comprehensive review
10.2478/jlst-2020-0004 · doi-reference
Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid
10.1016/j.apenergy.2020.114915 · doi-reference
A short-term load forecasting model of multi-scale CNN-LSTM hybrid neural network considering the real-time electricity price
10.1016/j.egyr.2020.11.078 · doi-reference
A global modeling framework for load forecasting in distribution networks
10.1109/tsg.2023.3264525 · doi-reference
A short-term integrated wind speed prediction system based on fuzzy set feature extraction and intelligent optimization
10.1016/j.compind.2025.104418 · doi-reference
A hybrid method based on wavelet, ANN and ARIMA model for short-term load forecasting
10.1080/0952813x.2013.813976 · doi-reference
10.1145/3447548.3467430
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A hybrid model for deep learning short-term power load forecasting based on feature extraction statistics techniques
10.1016/j.eswa.2023.122012 · doi-reference
Modeling and forecasting hourly electricity demand by SARIMAX with interactions
10.1016/j.energy.2018.09.157 · doi-reference
Regression-SARIMA modelling of daily peak electricity demand in South Africa
10.17159/2413-3051/2012/v23i3a3169 · doi-reference
An adaptive ensemble framework with representative subset based weight correction for short-term forecast of peak power load
10.1016/j.apenergy.2022.120156 · doi-reference