Long-term load forecasting using grey wolf optimizer-least-squares support vector machine
Long term load forecasting data is important for grid expansion and power system operation. Besides, it also important to ensure the generation capacity meet electricity demand at all times. In this paper, Least-Square Support Vector Machine (LSSVM) is used to predict the long-term load demand. Four...
Main Authors: | Ali, Y.M (Author), Aziz, N.F.A (Author), Mohamad, H. (Author), Salim, N.A (Author), Yasin, Z.M (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Advanced Engineering and Science,
2020
|
Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |
Similar Items
-
Prediction of solar irradiance using grey Wolf optimizer least square support vector machine
by: Aziz, N.F.A, et al.
Published: (2019) -
Forecasting of Automobile Sales Based on Support Vector Regression Optimized by the Grey Wolf Optimizer Algorithm
by: Hou, W.-H, et al.
Published: (2022) -
Forecasting Monthly Runoff Time Series by Single-Layer Feedforward Artificial Neural Network and Grey Wolf Optimizer
by: Xiong Cheng, et al.
Published: (2020-01-01) -
Application of grey wolf algorithm for solving engineering optimization problems
by: Milenković Branislav N., et al.
Published: (2021-01-01) -
Short-Term Electric Load Forecasting Based on Variational Mode Decomposition and Grey Wolf Optimization
by: Mengran Zhou, et al.
Published: (2021-08-01)