Research and Application of Hybrid Forecasting Model Based on an Optimal Feature Selection System—A Case Study on Electrical Load Forecasting

Optimal Feature Selection ◽

Optimal Feature

Research and Application of a Hybrid Forecasting Model Based on Data Decomposition for Electrical Load Forecasting

Energies ◽

10.3390/en9121050 ◽

2016 ◽

Vol 9 (12) ◽

pp. 1050 ◽

Cited By ~ 12

Author(s):

Yuqi Dong ◽

Xuejiao Ma ◽

Chenchen Ma ◽

Jianzhou Wang

Keyword(s):

Load Forecasting ◽

Forecasting Model ◽

Electrical Load ◽

Data Decomposition ◽

Model Based ◽

Hybrid Forecasting ◽

A Hybrid Short-Term Building Electrical Load Forecasting Model Combining the Periodic Pattern, Fuzzy System, and Wavelet Transform

International Journal of Fuzzy Systems ◽

10.1007/s40815-019-00783-y ◽

2020 ◽

Vol 22 (1) ◽

pp. 156-171 ◽

Cited By ~ 5

Author(s):

Chengdong Li ◽

Minjia Tang ◽

Guiqing Zhang ◽

Ruiqi Wang ◽

Chongyi Tian

Keyword(s):

Wavelet Transform ◽

Fuzzy System ◽

Load Forecasting ◽

Periodic Pattern ◽

Forecasting Model ◽

Electrical Load ◽

Short Term ◽

Model Combining ◽

Electrical Load Forecasting Using Artificial Neural Network: The Case Study of the Grid Inter-Connected Network of Benin Electricity Community (CEB)

American Journal of Engineering and Applied Sciences ◽

10.3844/ajeassp.2018.471.481 ◽

2018 ◽

Vol 11 (2) ◽

pp. 471-481 ◽

Cited By ~ 1

Author(s):

Adekunlé Akim Salami ◽

Ayité Sénah Akoda Ajavon ◽

Koffi A. Dotche ◽

Koffi-Sa Bedja

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Load Forecasting ◽

Electrical Load ◽

Connected Network ◽

Artificial Neural

2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) ◽

The Evolutionary Deep Learning Model for Electrical Load Forecasting

10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00147 ◽

2020 ◽

Author(s):

Fei Peng ◽

Dan Li ◽

Tianyu An ◽

Hanjun Wang ◽

Changyi Tian ◽

...

Keyword(s):

Deep Learning ◽

Load Forecasting ◽

Learning Model ◽

Electrical Load ◽

Deep Learning Model

2017 10th International Conference on Intelligent Computation Technology and Automation (ICICTA) ◽

Electrical Load Forecasting Using Echo State Network and Optimizing by PSO Algorithm

10.1109/icicta.2017.94 ◽

2017 ◽

Cited By ~ 3

Author(s):

Li Wei ◽

Li Haitian

Keyword(s):

Load Forecasting ◽

Pso Algorithm ◽

Echo State Network ◽

Electrical Load ◽

Long term electrical load forecasting via a neurofuzzy model

2009 14th International CSI Computer Conference ◽

10.1109/csicc.2009.5349440 ◽

2009 ◽

Cited By ~ 13

Author(s):

M. Nosrati Maralloo ◽

A. R. Koushki ◽

C. Lucas ◽

A. Kalhor

Keyword(s):

Load Forecasting ◽

Electrical Load ◽

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 ◽

Electrical Load Forecasting

Applications of Neural Networks ◽

10.1007/978-1-4757-2379-3_7 ◽

1995 ◽

pp. 157-189 ◽

Cited By ~ 2

Author(s):

Yuan-Yih Hsu ◽

Chien-Chun Yang

Keyword(s):

Load Forecasting ◽

Electrical Load ◽

Electrical Load Forecasting

2021 International Conference on Intelligent Technologies (CONIT) ◽

10.1109/conit51480.2021.9498349 ◽

2021 ◽

Author(s):

Ujjwal Singh ◽

Aditya Negi ◽

Vaibhav Garg ◽

Rohan Pillai

Keyword(s):

Load Forecasting ◽

Electrical Load ◽