An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting
出版年份 2014 全文链接
标题
An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting
作者
关键词
Short-term load forecasting, Artificial Neural Networks, Artificial bee colony algorithm, Particle swarm optimization, Genetic algorithm, Optimization techniques
出版物
NEURAL COMPUTING & APPLICATIONS
Volume 25, Issue 7-8, Pages 1967-1978
出版商
Springer Nature
发表日期
2014-08-02
DOI
10.1007/s00521-014-1685-y
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm
- (2014) Saadat Bahrami et al. ENERGY
- A review on applications of ANN and SVM for building electrical energy consumption forecasting
- (2014) A.S. Ahmad et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Hybrid PSO–SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank
- (2013) A. Selakov et al. APPLIED SOFT COMPUTING
- An annual load forecasting model based on support vector regression with differential evolution algorithm
- (2012) Jianjun Wang et al. APPLIED ENERGY
- A comprehensive survey: artificial bee colony (ABC) algorithm and applications
- (2012) Dervis Karaboga et al. ARTIFICIAL INTELLIGENCE REVIEW
- Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm
- (2012) Wei-Chiang Hong et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A hybrid intelligent algorithm based short-term load forecasting approach
- (2012) Rahmat-Allah Hooshmand et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm
- (2011) Wei-Chiang Hong ENERGY
- Short-Term Load Forecasting With Exponentially Weighted Methods
- (2011) James W. Taylor IEEE TRANSACTIONS ON POWER SYSTEMS
- Performance assessment of foraging algorithms vs. evolutionary algorithms
- (2011) Mohammed El-Abd INFORMATION SCIENCES
- Neural-based electricity load forecasting using hybrid of GA and ACO for feature selection
- (2011) Mansour Sheikhan et al. NEURAL COMPUTING & APPLICATIONS
- Optimization methods applied to renewable and sustainable energy: A review
- (2011) R. Baños et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Energy models for demand forecasting—A review
- (2011) L. Suganthi et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Application of chaotic ant swarm optimization in electric load forecasting
- (2010) Wei-Chiang Hong ENERGY POLICY
- Load Forecasting Using Hybrid Models
- (2010) Madasu Hanmandlu et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A comparative study of Artificial Bee Colony algorithm
- (2009) Dervis Karaboga et al. APPLIED MATHEMATICS AND COMPUTATION
- A novel clustering approach: Artificial Bee Colony (ABC) algorithm
- (2009) Dervis Karaboga et al. APPLIED SOFT COMPUTING
- Electric load forecasting methods: Tools for decision making
- (2009) Heiko Hahn et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search