Short-term Load Prediction of Integrated Energy System with Wavelet Neural Network Model Based on Improved Particle Swarm Optimization and Chaos Optimization Algorithm
To improve energy efficiency and protect the environment, the integrated energy system (IES) becomes a significant direction of energy structure adjustment. This paper inno-vatively proposes a wavelet neural network (WNN) model optimized by the improved particle swarm optimization (IPSO) and chaos o...
Guardado en:
Autores principales: | Leijiao Ge, Yuanliang Li, Jun Yan, Yuqian Wang, Na Zhang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5aeed46b9323403a813cb04f189ca36b |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Hybrid Quantum Inspired Particle Swarm Optimization and Least Square Framework for Real-time Harmonic Estimation
por: Abu Bakar Waqas, et al.
Publicado: (2021) -
Optimal Chiller Loading by Team Particle Swarm Algorithm for Reducing Energy Consumption
por: Wen-Shing Lee, et al.
Publicado: (2021) -
Planning and operation of EV charging stations by chicken swarm optimization driven heuristics
por: Sulabh Sachan, et al.
Publicado: (2021) -
Collaborative Distributed AC Optimal Power Flow: A Dual Decomposition Based Algorithm
por: Zheyuan Cheng, et al.
Publicado: (2021) -
Feasible Optimal Solutions of Electromagnetic Cloaking Problems by Chaotic Accelerated Particle Swarm Optimization
por: Alkmini Michaloglou, et al.
Publicado: (2021)