Intelligent energy management systems: a review

被引:16
|
作者
Mischos, Stavros [1 ]
Dalagdi, Eleanna [1 ]
Vrakas, Dimitrios [1 ]
机构
[1] Aristotle Univ Thessaloniki, Sch Informat, Thessaloniki, Greece
关键词
Energy management systems; Recommendation systems; Direct control; Indirect control; Smart home; Automated control; COLD-START PROBLEM; AMBIENT INTELLIGENCE; RECOMMENDER SYSTEMS; ZERO-ENERGY; EFFICIENCY; BUILDINGS; CONSUMPTION; TECHNOLOGIES; CHALLENGES; INTERNET;
D O I
10.1007/s10462-023-10441-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Climate change has become a major problem for humanity in the last two decades. One of the reasons that caused it, is our daily energy waste. People consume electricity in order to use home/work appliances and devices and also reach certain levels of comfort while working or being at home. However, even though the environmental impact of this behavior is not immediately observed, it leads to increased CO2 emissions coming from energy generation from power plants. It has been shown that about 40% of these emissions come from the electricity consumption and also that about 20% of this percentage could have been saved if we started using energy more efficiently. Confronting such a problem efficiently will affect both the environment and our society. Monitoring energy consumption in real-time, changing energy wastage behavior of occupants and using automations with incorporated energy savings scenarios, are ways to decrease global energy footprint. In this review, we study intelligent systems for energy management in residential, commercial and educational buildings, classifying them in two major categories depending on whether they provide direct or indirect control. The article also discusses what the strengths and weaknesses are, which optimization techniques do they use and finally, provide insights about how these systems can be improved in the future.
引用
收藏
页码:11635 / 11674
页数:40
相关论文
共 50 条
  • [1] Intelligent energy management systems: a review
    Stavros Mischos
    Eleanna Dalagdi
    Dimitrios Vrakas
    Artificial Intelligence Review, 2023, 56 : 11635 - 11674
  • [2] A Review on Intelligent Energy Management Systems for Future Electric Vehicle Transportation
    Teimoori, Zeinab
    Yassine, Abdulsalam
    SUSTAINABILITY, 2022, 14 (21)
  • [3] Intelligent Management Systems for Energy Efficiency in Buildings: A Survey
    De Paola, Alessandra
    Ortolani, Marco
    Lo Re, Giuseppe
    Anastasi, Giuseppe
    Das, Sajal K.
    ACM COMPUTING SURVEYS, 2014, 47 (01)
  • [4] Energy Management Systems and Strategies in Buildings Sector: A Scoping Review
    Al-Ghaili, Abbas M.
    Kasim, Hairoladenan
    Al-Hada, Naif M.
    Jorgensen, Bo Norregaard
    Othman, Marini
    Jihua, Wang
    IEEE ACCESS, 2021, 9 : 63790 - 63813
  • [5] Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review
    Onile, Abiodun E.
    Machlev, Ram
    Petlenkov, Eduard
    Levron, Yoash
    Belikov, Juri
    ENERGY REPORTS, 2021, 7 : 997 - 1015
  • [6] Energy Management Systems in Sustainable Smart Cities Based on the Internet of Energy: A Technical Review
    Mishra, Priyanka
    Singh, Ghanshyam
    ENERGIES, 2023, 16 (19)
  • [7] Applications of Deep Reinforcement Learning for Home Energy Management Systems: A Review
    Laton, Dominik
    Grela, Jakub
    Ozadowicz, Andrzej
    ENERGIES, 2024, 17 (24)
  • [8] A review on Zero Energy Buildings and Intelligent Systems
    Vergini, Eleni S.
    Groumpos, P. P.
    2015 6TH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS AND APPLICATIONS (IISA), 2015,
  • [9] Big Data Architecture for Building Energy Management Systems
    Ruiz, M. Dolores
    Gomez-Romero, Juan
    Fernandez-Basso, Carlos
    Martin-Bautista, Maria J.
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (09) : 5738 - 5747
  • [10] Home energy management systems: A review of modelling and complexity
    Beaudin, Marc
    Zareipour, Hamidreza
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 45 : 318 - 335