A hybrid electricity load prediction system based on weighted fuzzy time series and multi-objective differential evolution.
Zhining CaoJianzhou WangLi YinDanxiang WeiYiyao XiaoPublished in: Appl. Soft Comput. (2023)
Keyphrases
- load forecasting
- multi objective differential evolution
- forecasting accuracy
- short term
- electric power
- power system
- financial time series
- moving average
- support vector regression
- rbf neural network
- prediction model
- exponential smoothing
- chaotic time series
- demand forecasting
- long term
- prediction accuracy
- box jenkins
- test problems
- stock market
- bp neural network
- mathematical model
- short term prediction
- neural network
- power generation
- electric vehicle charging
- electricity consumption
- electricity markets
- load balancing
- lower bound
- genetic algorithm