Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization.
Luis Fernando Marin SepulvedaPetterson Sousa DinizJoão Otávio Bandeira DinizStelmo Magalhães Barros NettoCarolina L. S. CiprianoAlexandre Cristian AraújoVictor H. B. LemosAlexandre C. P. PessoaDarlan Bruno Pontes QuintanilhaJoão Dallyson Sousa de AlmeidaAristófanes C. SilvaAnselmo Cardoso de PaivaGeraldo Braz Jr.Márcia I. A. SilvaEliana Marcia Garros MonteiroItalo Francyles Santos da SilvaEduardo C. FernandesPublished in: Eng. Appl. Artif. Intell. (2021)
Keyphrases
- electricity consumption
- gradient boosting
- particle swarm optimization
- kernel ridge regression
- loss function
- electric power
- economic development
- energy saving
- energy consumption
- data sets
- single feature
- evolutionary algorithm
- bayesian networks
- neural network
- logistic regression
- recognition rate
- growth rate
- imitation learning