Power load forecasting using support vector machine and ant colony optimization

By D. Niu, Yongli Wang, Desheng Dash Wu. 2010

407 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Moumita Pradhan
2. Tandra DebRoy Pal
3. Muhammad Naveed Akhter
4. Hazlie Mokhlis
5. Noraisyah Mohamed Shah
6. Saad Mekhilef
7. Provas Kumar Roy
8. Yousef A. Mahmoud

Citations in the corpus

• Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques (2019, background): “This hybrid approach has the ability to overcome the disadvantage of very large data and low processing speed [126].”
• Grey wolf optimization applied to economic load dispatch problems (2016, background): “hybrid GA (HGA)[18], particle swarm optimization (PSO) [19], anti predatory PSO (APSO) [20], civilized swarm optimization (CSO) [21], modified PSO (MPSO) [22], craziness based PSO (CRPSO) [23], hybrid PSO (HPSO) [24], ant colony optimization (ACO) [25,26], bacteria foraging optimization (BFO) [27], ”