Equipping Seasonal Exponential Smoothing Models with Particle Swarm Optimization Algorithm for Electricity Consumption Forecasting

Electricity consumption forecasting plays an important role in investment planning of electricity infrastructure, and in electricity production/generation and distribution. Accurate electricity consumption prediction over the mid/long term is of great interest to both practitioners and academics. Co...

Celý popis

Podrobná bibliografia

Vydané v:	Energies (Basel) Ročník 14; číslo 13; s. 4036
Hlavní autori:	Deng, Changrui, Zhang, Xiaoyuan, Huang, Yanmei, Bao, Yukun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.07.2021
Predmet:	Accuracy Artificial intelligence Electricity electricity consumption forecasting Forecasting genetic algorithm grid search method Methods Optimization algorithms particle swarm optimization algorithm Random variables seasonal exponential smoothing models Seasonal variations Support vector machines Time series
ISSN:	1996-1073, 1996-1073
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!