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7 March 2022 Adaptive optimization modeling of district warehouse heating network based on Sklearn
Xuebin Zhu, Wangzhou Lin, Jiang Su, Zhenghong Yu
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Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121671Z (2022) https://doi.org/10.1117/12.2628651
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China
Abstract
With the rapid development of e-commerce, online shopping, and the Internet of Things, regional mixed warehousing has replaced single small warehousing, not only becoming the first choice of various transportation companies, but also the mainstream configuration of various malls and supermarkets. Constant temperature is an indicator that must be achieved for basic storage, however, a large-scale storage system also poses great challenges to the local heating network. The adaptive machine learning algorithm proposed in this paper can quickly and efficiently generate a model of a large-area warehouse heating network, accurately simulating heat demand.
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Xuebin Zhu, Wangzhou Lin, Jiang Su, and Zhenghong Yu "Adaptive optimization modeling of district warehouse heating network based on Sklearn", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121671Z (7 March 2022); https://doi.org/10.1117/12.2628651
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KEYWORDS
Data modeling
Machine learning
Optimization (mathematics)
Data analysis
Process modeling
Systems modeling
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