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...

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Vydáno v:	Energies (Basel) Ročník 14; číslo 13; s. 4036
Hlavní autoři:	Deng, Changrui, Zhang, Xiaoyuan, Huang, Yanmei, Bao, Yukun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.07.2021
Témata:	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 přístup:	Získat plný text
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