A New CIGWO-Elman Hybrid Model for Power Load Forecasting
Author:
Funder
postdoctoral research foundation of china
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-021-00928-w.pdf
Reference34 articles.
1. Hernandez L, Baladron C, Aguiar Javier M et al (2014) A survey on electric power demand forecasting: Future trends in smart grids, microgrids and smart buildings. IEEE Commun Surv Tutor 16(3):1460–1495. https://doi.org/10.1109/SURV.2014.032014.00094
2. Fiot JB, Dinuzzo F (2018) Electricity demand forecasting by multi-task learning. IEEE Trans Smart Grid 9(2):544–551. https://doi.org/10.1109/TSG.2016.2555788
3. Mehmood K, Cheema KM, Tahir MF et al (2021) Short term power dispatch using neural network based ensemble classifier. Journal of Energy Storage 33(18):102101. https://doi.org/10.1016/J.EST.2020.102101
4. Cho S, Choi M, Gao Z et al (2021) Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks. Renew Energy 169(11):1–13. https://doi.org/10.1016/J.RENENE.2020.12.116
5. Li LC, Meinrenken CJ, Modi V et al (2021) Short-term apartment-level load forecasting using a modified neural network with selected auto-regressive features. Appl Energy 287(147):116509. https://doi.org/10.1016/J.APENERGY.2021.116509
Cited by 6 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. High-precision air conditioning load forecasting model based on improved sparrow search algorithm;Journal of Building Engineering;2024-09
2. Uncertain Scheduling of the Power System Based on Wasserstein Distributionally Robust Optimization and Improved Differential Evolution Algorithm;Energies;2024-08-05
3. A Point-Interval Forecasting Method for Wind Speed Using Improved Wild Horse Optimization Algorithm and Ensemble Learning;Sustainability;2023-12-21
4. Short-term Load Forecasting Based on CEEMDAN-PE-GWO-LSTM;2023 3rd International Conference on Energy Engineering and Power Systems (EEPS);2023-07-28
5. Short-Term Electricity Load Forecasting Based on Back Propagation Neural Network Considering Key Meteorological Factors;2023 6th International Conference on Electrical Engineering and Green Energy (CEEGE);2023-06-06
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3