Particle Swarm Optimization Based Demand Response Using Artificial Neural Network Based Load Prediction-Reference-Cited by-同舟云学术

Particle Swarm Optimization Based Demand Response Using Artificial Neural Network Based Load Prediction

Published:2022-10-09 Issue: Volume: Page:
ISSN:
Container-title:2022 North American Power Symposium (NAPS)
language:
Short-container-title:

Author:

Bayat Nasrin¹,Park Joon-Hyuk¹

Affiliation:

1. University of Central Florida,Department of Electrical and Computer Engineering,Orlando,FL,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10012119/10012131/10012263.pdf?arnumber=10012263

Reference24 articles.

1. A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

2. Monthly electricity demand forecasting based on a weighted evolving fuzzy neural network approach

3. A Review of Short Term Load Forecasting using Artificial Neural Network Models

4. A comprehensive foundation;simon;Neural Networks,2004

5. Similar day selecting based neural network model and its application in short-term load forecasting;he;2005 International Conference on Machine Learning and Cybernetics,2005

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing the Energy and Operational Management of Microgrids;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

2. Stochastic Economic Dispatch Considering Demand Response and Endogenous Uncertainty;2023 IEEE Power & Energy Society General Meeting (PESGM);2023-07-16

3. OUC Gardenia Grid Integration Laboratory: Overview and implementation;2023 IEEE Texas Power and Energy Conference (TPEC);2023-02-13

4. A Review on the Applications of PSO-Based Algorithm in Demand Side Management: Challenges and Opportunities;IEEE Access;2023

5. Long-Term Electrical Load Forecasting in Rwanda Based on Support Vector Machine Enhanced with Q-SVM Optimization Kernel Function;Journal of Power and Energy Engineering;2023