Improved estimation of electricity demand function by using of artificial neural network, principal component analysis and data envelopment analysis
Author:
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference53 articles.
1. Modeling and forecasting monthly electric energy consumption in eastern Saudi Arabia using abductive networks;Abdel-Aal;Energy,1997
2. Grey prediction with rolling mechanism for electricity demand forecasting of Turkey;Akay;Energy,2007
3. Artificial neural networks as applied to long-term demand forecasting;Al-Saba;Artificial Intelligence in Engineering,1999
4. A new prediction strategy for price spike forecasting of day-ahead electricity markets;Amjady;Applied Soft Computing,2011
5. Modelling of the appliance, lighting and space-cooling energy consumptions in the residential sector using neural networks;Aydinalp;Applied Energy,2002
Cited by 57 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. Fault Detection and Diagnosis Based on Ant Colony Algorithm;2024 8th International Conference on Robotics and Automation Sciences (ICRAS);2024-06-21
2. An advanced framework for net electricity consumption prediction: Incorporating novel machine learning models and optimization algorithms;Energy;2024-06
3. A Neural Network Forecasting Approach for the Smart Grid Demand Response Management Problem;Energies;2024-05-11
4. Long-term electrical energy demand forecasting by using artificial intelligence/machine learning techniques;Electrical Engineering;2024-05-03
5. Optimization of low voltage distribution network configuration using forecasts based on Advanced Metering Infrastructure data;PRZEGLĄD ELEKTROTECHNICZNY;2024-03-19
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