Integrating data decomposition and machine learning methods: An empirical proposition and analysis for renewable energy generation forecasting
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference51 articles.
1. Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment;Ahmad;Energy,2018
2. The investigation of environmental kuznets curve hypothesis in the advanced economies: the role of energy prices;Al-Mulali;Renewable and Sustainable Energy Reviews,2016
3. Dynamic impact of trade policy, economic growth, fertility rate, renewable and non-renewable energy consumption on ecological footprint in Europe;Alola;Science of The Total Environment,2019
4. SVR-DEA model of carbon tax pricing for China’s thermal power industry;An;Science of The Total Environment,2020
5. On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages;Appino;Applied Energy,2018
Cited by 30 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. Electric vehicles' impact on energy balance: Three-country comparison;Renewable and Sustainable Energy Reviews;2024-10
2. A paradigm shift in solar energy forecasting: A novel two-phase model for monthly residential consumption;Energy;2024-10
3. Adaptive energy management strategy for optimal integration of wind/PV system with hybrid gravity/battery energy storage using forecast models;Journal of Energy Storage;2024-08
4. Integrating temporal decomposition and data-driven approaches for predicting coastal harmful algal blooms;Journal of Environmental Management;2024-07
5. Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms;International Journal of Renewable Energy Development;2024-06-07
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