A Tutorial: Information and Communications-based Intelligent Building Energy Monitoring and Efficient Systems
- Authors
- Seo, Si-O; Baek, Seung-Yong; Keum, Doyeop; Ryu, Seungwan; Cho, Choong-Ho
- Issue Date
- 29-11월-2013
- Publisher
- KSII-KOR SOC INTERNET INFORMATION
- Keywords
- energy-saving; energy forecasting; building energy management; energy consumption; energy monitoring and management
- Citation
- KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.7, no.11, pp.2676 - 2689
- Indexed
- SCIE
SCOPUS
KCI
OTHER
- Journal Title
- KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
- Volume
- 7
- Number
- 11
- Start Page
- 2676
- End Page
- 2689
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/101551
- DOI
- 10.3837/tiis.2013.11.007
- ISSN
- 1976-7277
- Abstract
- Due to increased consumption of energy in the building environment, the building energy management systems (BEMS) solution has been developed to achieve energy saving and efficiency. However, because of the shortage of building energy management specialists and incompatibility among the energy management systems of different vendors, the BEMS solution can only be applied to limited buildings individually. To solve these problems, we propose a building cluster based remote energy monitoring and management (EMM) system and its functionalities and roles of each sub-system to simultaneously manage the energy problems of several buildings. We also introduce a novel energy demand forecasting algorithm by using past energy consumption data. Extensive performance evaluation study shows that the proposed regression based energy demand forecasting model is well fitted to the actual energy consumption model, and it also outperforms the artificial neural network (ANN) based forecasting model.
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Collections - Graduate School > Department of Computer and Information Science > 1. Journal Articles
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