Article citationsMore>>

Li, W., Shi, Q., Sibtain, M., Li, D. and Mbanze, D.E. (2020) A Hybrid Forecasting Model for Short-Term Power Load Based on Sample Entropy, Two-Phase Decomposition and Whale Algorithm Optimized Support Vector Regression. IEEE Access, 8, 166907-166921.
https://doi.org/10.1109/ACCESS.2020.3023143

has been cited by the following article:

• TITLE: An Improved Differential Evolution Whale Algorithm for Economic Load Distribution

  AUTHORS: Haiming Li, Chunning Fu

  KEYWORDS: Whale Optimization Algorithm, Differential Evolution Algorithm, Elimination Mechanism, Economic Load Distribution

  JOURNAL NAME: Journal of Computer and Communications, Vol.10 No.10, October 27, 2022

  ABSTRACT: An improved optimization algorithm combining the differential evolution algorithm and the whale algorithm is proposed for the problem of not being able to get rid of the local optimum in the economic load distribution algorithm. The algorithm adopts a nonlinear convergence strategy, a crossover strategy of differential evolution and the introduction of an elimination mechanism, which balances the global search and local exploitation ability of the algorithm and improves the accuracy of the solved optimal solution. The 13-unit and 40-unit systems are selected for economic load distribution calculation, and the experimental results show that the proposed improved algorithm is superior in distributing the economic load of the power system and can effectively reduce the economic cost.