An Efficient Artificial Intelligence Energy Management System for Urban Building Integrating Photovoltaic and Storage
Author:
Affiliation:
1. Dipartimento di Ingegneria Meccanica e Aerospaziale, Politecnico di Torino, Turin, Italy
2. Dipartimento di Energia, Politecnico di Milano, Milan, Italy
3. Dipartimento di Automatica e Informatica, Politecnico di Torino, Turin, Italy
Funder
Politecnico di Torino through the CRUI CARE Agreement
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10049578.pdf?arnumber=10049578
Reference74 articles.
1. Electricity consumption forecasting models for administration buildings of the UK higher education sector
2. Regression analysis for prediction of residential energy consumption
3. A modeling and experimental study of capacity fade for lithium-ion batteries
4. Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy
Cited by 22 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. Prediction Model-Assisted Optimization Scheduling Strategy for Renewable Energy in the Microgrid;Processes;2024-08-23
2. ESG-Driven Investment Decisions in Photovoltaic Projects;Energies;2024-08-19
3. Comparative study of electric and hydrogen mobility infrastructures for sustainable public transport: A PyPSA optimization for a remote island context;International Journal of Hydrogen Energy;2024-08
4. Multi-objective optimization strategy for the distribution network with distributed photovoltaic and energy storage;Frontiers in Energy Research;2024-07-03
5. Research on the optimization and configuration of integrated photovoltaic and energy storage systems in smart buildings considering the lifecycle costs;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25
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