Prediction of appliances energy use in smart homes

被引：96
|
作者：
Arghira, Nicoleta [1 ,2 ]
Hawarah, Lamis [1 ]
Ploix, Stephane [1 ]
Jacomino, Mireille [1 ]
机构：
[1] Grenoble Inst Technol, Lab Sci Concept Optimisat & Prod Grenoble, Grenoble, France
[2] Univ Politehn Bucuresti, Dept Automat Control & Ind Informat, Bucharest, Romania
来源：
ENERGY | 2012年 / 48卷 / 01期
关键词：
Smart home; Prediction; Energy consumption; Stochastic process;
D O I：
10.1016/j.energy.2012.04.010
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
This paper presents methods for prediction of energy consumption of different appliances in homes. The aim is to predict the next day electricity consumption for some services in homes. Historical data for a set of homes in France was used. Two basic predictors are tested and a stochastic based predictor is proposed. The performance of the predictors is studied and it shows that the proposed predictor gives better results than other approaches. Two processings are proposed to improve the performance of the predictor, segmentation and aggregation of data. Application results are provided. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：128 / 134
页数：7
相关论文
共 50 条
  • [31] Smart energy management: real-time prediction and optimization for IoT-enabled smart homes
    Karuna, G.
    Ediga, Poornima
    Akshatha, S.
    Anupama, P.
    Sanjana, T.
    Mittal, Aman
    Rajvanshi, Saurabh
    Habelalmateen, Mohammed I.
    [J]. COGENT ENGINEERING, 2024, 11 (01):
  • [32] Energy Smart Appliances: Applications, Methodologies, and Challenges
    Kularatna, Nihal
    [J]. IEEE ELECTRICAL INSULATION MAGAZINE, 2024, 40 (03) : 33 - 34
  • [33] A Survey on Energy Efficiency in Smart Homes and Smart Grids
    Prieto Gonzalez, Lisardo
    Fensel, Anna
    Gomez Berbis, Juan Miguel
    Popa, Angela
    de Amescua Seco, Antonio
    [J]. ENERGIES, 2021, 14 (21)
  • [34] Studving the use of handhelds to control smart appliances
    Nichols, J
    Myers, BA
    [J]. 23RD INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS, 2003, : 274 - 279
  • [35] Foged Energy Optimization in Smart Homes
    Butt, Ayesha Anjum
    Javaid, Nadeem
    Mujeeb, Sana
    Ahmed, Salman
    Ali, Malik Muhammad Shahid
    Ali, Waqar
    [J]. INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING, IMIS-2018, 2019, 773 : 265 - 275
  • [36] An Energy Activity Dataset for Smart Homes
    Li, Chen
    Chen, Meilan
    [J]. PROCEEDINGS OF 2023 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION TECHNOLOGY, ICIIT 2023, 2023, : 161 - 171
  • [37] Energy Optimization Technologies in Smart Homes
    Moayedi, Sam
    Almaghrebi, Ahmad
    Haase, Jan
    Nishi, Hiroaki
    Zucker, Gerhard
    Aljuhaishi, Nasser
    Alahmadi, Mahmoud
    [J]. IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 1974 - 1979
  • [38] A Face Recognition Method in the IoT for Security Appliances in Smart Homes, offices and Cities
    Kumar, Abhishek
    Kumar, Palvadi Srinivas
    Agarwal, Rashmi
    [J]. PROCEEDINGS OF THE 2019 3RD INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC 2019), 2019, : 964 - 968
  • [39] Prediction of thermal energy inside smart homes using IoT and classifier ensemble techniques
    Hong, Xu
    Yuan, He
    Xiang, Sun
    Jia, He
    Xu Qiongmei
    [J]. COMPUTER COMMUNICATIONS, 2020, 151 (151) : 581 - 589
  • [40] Optimization of Energy Expenditure in Smart Homes under Time-of-Use Pricing
    Longe, Omowunmi Mary
    Ouahada, Khmaies
    Rimer, Suvendi
    Ferreira, Hendrik C.
    [J]. 2015 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2015,
12345