New Hybrid Algorithms for Prediction of Daily Load of Power Network

Other literature type, Article English OPEN
Hu, Pei; Pan, Jeng-Shyang; Chu, Shu-Chuan; Chai, Qing-Wei; Liu, Tao; Li, Zhong-Cui;
  • Publisher: MDPI AG
  • Journal: Applied Sciences (issn: 2076-3417)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.3390/app9214514
  • Subject: Chemistry | QD1-999 | Engineering (General). Civil engineering (General) | Technology | neural network | QH301-705.5 | TA1-2040 | T | Physics | hybrid algorithms | QC1-999 | sfla | gwo | Biology (General)

Two new hybrid algorithms are proposed to improve the performances of the meta-heuristic optimization algorithms, namely the Grey Wolf Optimizer (GWO) and Shuffled Frog Leaping Algorithm (SFLA). Firstly, it advances the hierarchy and position updating of the mathematica... View more
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