A Smart Home system using Artificial Intelligence and integration with Energy Storage and Microgeneration

被引：0
作者：
Souza, Alisson Trindade [1 ]
Canha, Luciane Neves [1 ]
Milbradt, Rafael Gressler [2 ]
Lemos, Christian Lua [2 ]
Michels, Cassio [2 ]
Silva Santana, Tiago Augusto [3 ]
机构：
[1] Univ Fed Santa Maria, CEESP Ctr Excellence Energy & Power Syst, Santa Maria, RS, Brazil
[2] Univ Fed Santa Maria, Polytech Coll, Santa Maria, RS, Brazil
[3] COPEL Curitiba, Smart Grid Superintendency & Special Projects, Curitiba, Parana, Brazil
来源：
2020 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT) | 2020年
关键词：
Artificial intelligence; Demand response; HVAC systems; Internet of things; Smart home;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Smart Grids environments tend to bring more freedom and motivation to residential users become producer of electrical energy, however the increase of distributed generation systems can bring important concerns to utility companies, such as the electrical energy two-way flow. Demand response (DR) programs support the companies to provide better planning actions for the grid and encourage residential users to shift your behaviors of use residential loads. However it tends to be difficult to users make different actions along the day. Thinking about this, Smart Home systems can carry out intelligent DR actions automatically in order to reduce energy consumption of users. The present work aims to provide a system that applies artificial intelligence methods and concepts of Internet of Things to manage residential lighting loads and HVAC systems. Monitored residential environmental data, power generation and status of battery management system are used in the decision-making process.
引用
收藏
页数：5
相关论文
共 13 条
  • [1] Andrade S.H, 2017, 58 INT SCI C POW EL
  • [2] [Anonymous], 2012, DEM SID RESP DOM SEC
  • [3] Learning Situation Models in a Smart Home
    Brdiczka, Oliver
    Crowley, James L.
    Reignier, Patrick
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (01): : 56 - 63
  • [4] Smart Heating and Air Conditioning Scheduling Method Incorporating Customer Convenience for Home Energy Management System
    Jo, Hyung-Chul
    Kim, Sangwon
    Joo, Sung-Kwan
    [J]. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2013, 59 (02) : 316 - 322
  • [5] Kawamura T., 1965, J METEOROL RES-PRC, V17, P460
  • [6] Langari R., 1994, IEEE T COM INTEL, P293
  • [7] Michalski R.S., 2013, MACHINE LEARNING ART, DOI DOI 10.1002/ZAMM.19850651113
  • [8] Microsoft. RANK, RANK AVG FUNCT
  • [9] MONARD M. C., 2003, SISTEMAS INTELIGENTE, V1
  • [10] Patel K, 2015, 2015 1ST INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING TECHNOLOGIES (NGCT), P479, DOI 10.1109/NGCT.2015.7375165
12