Temperature and Load Consumption Forecast in Smart Building on Foundation IoT by ARIMA Algorithm

Autor: Bao Doan Thanh, Phuoc Pham Duy, Phi Chi Do, Hieu Vu Trung
Rok vydání: 2019
Předmět:
Zdroj: Journal of Science and Technology: Issue on Information and Communications Technology. 17:55
ISSN: 1859-1531
DOI: 10.31130/ict-ud.2019.87
Popis: 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
Databáze: OpenAIRE