| 1 |
A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm
He FF, Zhou JZ, Feng ZK, Liu GB, Yang YQ
Applied Energy, 237, 103, 2019 |
| 2 |
A hybrid model based on modified multi-objective cuckoo search algorithm for short-term load forecasting
Wu ZC, Zhao XC, Ma YQ, Zhao X
Applied Energy, 237, 896, 2019 |
| 3 |
Short term load forecasting based on feature extraction and improved general regression neural network model
Liang Y, Niu DX, Hong WC
Energy, 166, 653, 2019 |
| 4 |
Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series
Sadaei HJ, Silva PCDE, Guimaraes FG, Lee MH
Energy, 175, 365, 2019 |
| 5 |
A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India
Barman M, Choudhury NBD, Sutradhar S
Energy, 145, 710, 2018 |
| 6 |
Priority index considering temperature and date proximity for selection of similar days in knowledge-based short term load forecasting method
Karimi M, Karami H, Gholami M, Khatibzadehazad H, Moslemi N
Energy, 144, 928, 2018 |
| 7 |
Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China
Fu X, Zeng XJ, Feng PP, Cai XW
Energy, 165, 76, 2018 |
| 8 |
Research and application of a hybrid wavelet neural network model with the improved cuckoo search algorithm for electrical power system forecasting
Xiao LY, Shao W, Yu MX, Ma J, Jin CJ
Applied Energy, 198, 203, 2017 |
| 9 |
Short-term residential load forecasting: Impact of calendar effects and forecast granularity
Lusis P, Khalilpour KR, Andrew L, Liebman A
Applied Energy, 205, 654, 2017 |
| 10 |
Research and application of a combined model based on multi-objective optimization for electrical load forecasting
Xiao LY, Shao W, Yu MX, Ma J, Jin CJ
Energy, 119, 1057, 2017 |
