Open AccessTemperature and Load Consumption Forecast in Smart Building on Foundation IoT by ARIMA Algorithm
Author(s) -
Phi Chi,
Phuoc Pham Duy,
Bao Doan Thanh,
Hieu Vu Trung
Publication year - 2019
Publication title -
tạp chí khoa học và công nghệ
Language(s) - English
Resource type - Journals
ISSN - 1859-1531
DOI - 10.31130/ict-ud.2019.87
Subject(s) - electricity , building automation , autoregressive integrated moving average , computer science , building management system , plan (archaeology) , consumption (sociology) , internet of things , energy consumption , energy management , allowance (engineering) , architectural engineering , environmental economics , energy (signal processing) , engineering , computer security , electrical engineering , operations management , time series , artificial intelligence , social science , mathematics , history , archaeology , sociology , control (management) , machine learning , thermodynamics , statistics , physics , economics
The paper presents the application of Internet of thing (IoT) in managing smart buildings and a proposal to study some of the functions, applications of building management system (BMS) in monitoring, controlling and using electricity effectively for high-rise buildings. Currently, high-rise buildings consume about 33% of global electricity. Managing energy consumption in the buildings is very important when the demand for electricity is increasing. Existing building management systems have high costs and reveal many weaknesses in data collection. Therefore, using the ARIMAX algorithm for predicts temperature, humidity and the amount of electricity that will be consumed in building which helps operators always plan to prepare the necessary energy source for the building, ensuring the electric energy is always provided fully, continuously and effectively