Forecasting electricity demand of municipalities through artificial neural networks and metered supply point classification
Author:
Funder
Universitat Politècnica de València
Publisher
Elsevier BV
Reference63 articles.
1. Akarslan, E., Hocaoglu, F.O., 2018. Electricity demand forecasting of a micro grid using ANN. In: 2018 9th International Renewable Energy Congress. IREC, pp. 1–5.
2. Long-term projections of the hourly electricity consumption in danish municipalities;Andersen;Energy,2019
3. Rivas se ‘independiza’ de las eléctricas;Anon;Diario de Rivas,2018
4. Error measures for generalizing about forecasting methods: Empirical comparisons;Armstrong;Int. J. Forecast.,1992
5. Operadora eléctrica metropolitana;Barcelona Energía,2021
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. Applying neural networks for short and long-term hourly electricity consumption forecasting in universities: A simultaneous approach for energy management;Journal of Building Engineering;2024-11
2. Mid-term electricity demand forecasting using improved multi-mode reconstruction and particle swarm-enhanced support vector regression;Energy;2024-09
3. Rapid identification model of mine water inrush source using random forest optimized by multi-strategy improved sparrow search algorithm;Heliyon;2024-08
4. VoltaVistaMan: Energy Dynamics Intelligent Predictive Analysis Utilizing Bayesian Hyper-Tuned Neural Networks – A Case Study on Switzerland's National Electricity Demand;2024 IEEE International Conference on Prognostics and Health Management (ICPHM);2024-06-17
5. Corrigendum to “Forecasting electricity demand of municipalities through artificial neural networks and metered supply point classification”, [vol. 11, June 2024, 3533–3549];Energy Reports;2024-06
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