INCREASING THE ACCURACY OF SHORT-TERM ELECTRICAL LOAD FORECASTING WITH CONSIDERING TO CHANGES IN THE STRUCTURE OF CONSUMPTION DURING THE YEAR

Structure Of Consumption

Optimum input sequence size for a sliding window-based LSTM neural network used in short-term electrical load forecasting

10.1109/telfor52709.2021.9653206 ◽

2021 ◽

Author(s):

Vladimir Urosevic ◽

Sonja Dimitrijevic

Keyword(s):

Neural Network ◽

Load Forecasting ◽

Input Sequence ◽

Sliding Window ◽

Electrical Load ◽

Short Term ◽

Optimum Input

LSTM-based short-term electrical load forecasting framework with improved input feature space

10.1109/ict-pep53949.2021.9600923 ◽

2021 ◽

Author(s):

Abhishek Sharma ◽

Sachin Kumar Jain

Keyword(s):

Load Forecasting ◽

Feature Space ◽

Electrical Load ◽

Short Term ◽

Input Feature ◽

International Conference on Intelligent Computing and Smart Communication 2019 - Algorithms for Intelligent Systems ◽

Teaching–Learning-Based Functional Link Artificial Neural Network for Short-Term Electrical Load Forecasting

10.1007/978-981-15-0633-8_42 ◽

2019 ◽

pp. 433-450

Author(s):

Rudra Narayan Pandey ◽

Sarat Mishra ◽

Sudhansu Kumar Mishra

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Load Forecasting ◽

Electrical Load ◽

Short Term ◽

Functional Link ◽

Artificial Neural ◽

Teaching Learning

Short-term electrical load forecasting using predictive machine learning models

2016 IEEE Annual India Conference (INDICON) ◽

10.1109/indicon.2016.7839103 ◽

2016 ◽

Cited By ~ 8

Author(s):

Karun P Warrior ◽

M Shrenik ◽

Nimish Soni

Keyword(s):

Machine Learning ◽

Load Forecasting ◽

Electrical Load ◽

Learning Models ◽

Short Term ◽

Machine Learning Models

Short-term electrical load forecasting using hybrid ANN–DE and wavelet transforms approach

Electrical Engineering ◽

10.1007/s00202-018-0743-3 ◽

2018 ◽

Vol 100 (4) ◽

pp. 2755-2763 ◽

Cited By ~ 3

Author(s):

Surender Reddy Salkuti

Keyword(s):

Wavelet Transforms ◽

Load Forecasting ◽

Electrical Load ◽

Short Term ◽

Theory-guided deep-learning for electrical load forecasting (TgDLF) via ensemble long short-term memory

Advances in Applied Energy ◽

10.1016/j.adapen.2020.100004 ◽

2021 ◽

Vol 1 ◽

pp. 100004

Author(s):

Yuntian Chen ◽

Dongxiao Zhang

Keyword(s):

Deep Learning ◽

Short Term Memory ◽

Load Forecasting ◽

Electrical Load ◽

Short Term ◽

Term Memory ◽

Long Short Term Memory

Long-Short-Term Memory Network Based Hybrid Model for Short-Term Electrical Load Forecasting

Information ◽

10.3390/info9070165 ◽

2018 ◽

Vol 9 (7) ◽

pp. 165 ◽

Cited By ~ 13

Author(s):

Liwen Xu ◽

Chengdong Li ◽

Xiuying Xie ◽

Guiqing Zhang

Keyword(s):

Hybrid Model ◽

Short Term Memory ◽

Load Forecasting ◽

Electrical Load ◽

Short Term ◽

Term Memory ◽

Memory Network ◽

Long Short Term Memory

Support vector machines for short-term electrical load forecasting

International Journal of Energy Research ◽

10.1002/er.787 ◽

2002 ◽

Vol 26 (4) ◽

pp. 335-345 ◽

Cited By ~ 83

Author(s):

Mohamed Mohandes

Keyword(s):

Support Vector Machines ◽

Load Forecasting ◽

Support Vector ◽

Electrical Load ◽

Short Term ◽

Vector Machines ◽

Short-term electrical load forecasting using least squares support vector machines

Proceedings. International Conference on Power System Technology ◽

10.1109/icpst.2002.1053540 ◽

2003 ◽

Cited By ~ 10

Author(s):

Li Yuancheng ◽

Fang Tingjian ◽

Yu Erkeng

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Load Forecasting ◽

Support Vector ◽

Electrical Load ◽

Short Term ◽

Vector Machines ◽

Short Term Electrical Load Forecasting Using Mutual Information Based Feature Selection with Generalized Minimum-Redundancy and Maximum-Relevance Criteria

Entropy ◽

10.3390/e18090330 ◽

2016 ◽

Vol 18 (9) ◽

pp. 330 ◽

Cited By ~ 10

Author(s):

Nantian Huang ◽

Zhiqiang Hu ◽

Guowei Cai ◽

Dongfeng Yang

Keyword(s):

Feature Selection ◽

Mutual Information ◽

Load Forecasting ◽

Electrical Load ◽

Short Term ◽

Relevance Criteria ◽