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Conference Paper Energy BigData platform for residential heat Information
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Authors
Tai-Yeon Ku, Wan-Ki Park, Hoon Choi
Issue Date
2023-12
Citation
International Conference on Big Data (Big Data) 2023, pp.6215-6217
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/BigData59044.2023.10386356
Abstract
In order to improve the efficiency of heat energy in apartment complexes that receive heat energy through district heating, heat loss costs must be minimized. To achieve this, a method for collecting heat energy information is needed. Information collection methods for power data have become common with the spread of AMI, but for heat energy data, there is still a lack of technology for systematic information collection and processing methods. To this end, this paper presents Energy BigData platform for residential heat information.
KSP Keywords
District Heating, Energy Information, Energy data, Heat Loss, Heat energy, Loss cost, Power data, Processing Method, information collection