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Estimation method of actual heating heat index based on elastic network regression model
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Jingde KANG1, Jiasi HUANG1, Lei QIAO1, Jie LI2, Peng SUN2, Kai HE1, Shengguan LIU1, Haijun SHANG1, Yuze WANG1, Yaohui SHI1, Jiayi SONG3
Thermal Power Generation | 2024, 53(2) : 114 - 123
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Thermal Power Generation | 2024, 53(2): 114-123
• Thermal energy science research •
Estimation method of actual heating heat index based on elastic network regression model
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Jingde KANG1, Jiasi HUANG1, Lei QIAO1, Jie LI2, Peng SUN2, Kai HE1, Shengguan LIU1, Haijun SHANG1, Yuze WANG1, Yaohui SHI1, Jiayi SONG3
Affiliations
  • 1.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, China
  • 2.Shandong Fadian Company of Huaneng Group Co. Ltd., Jinan 250014, China
  • 3.School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Published: 2024-02-25 doi: 10.19666/j.rlfd.202307110
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In order to meet the demand of estimating regional heat load for cogeneration enterprises, an estimation method using elastic network regression model is proposed. Firstly, the influencing factors of the actual heating heat index are analyzed to determine the input parameters of the model. Then, based on the actual operation data of 123 residential areas in Xi’an in the heating season from 2022 to 2023, the estimation model is established, and it is proved that the accuracy of the model is higher than that of Lasso regression and ridge regression models. Finally, part of the communities in Xi’an are selected to form a verification set to verify the elastic network regression model. The verification results show that, the elastic network regression model combines the advantages of Lasso regression and ridge regression, and has higher prediction accuracy than the conventional machine learning model. The MAE and goodness of fit of the model are 1.150 and 0.953, respectively, indicating that the method can accurately estimate the actual heating heat index with different parameters, and can meet the actual engineering needs of cogeneration enterprises.

cogeneration  /  actual heating heat index  /  elastic network regression model  /  heat load estimation
Jingde KANG, Jiasi HUANG, Lei QIAO, Jie LI, Peng SUN, Kai HE, Shengguan LIU, Haijun SHANG, Yuze WANG, Yaohui SHI, Jiayi SONG. Estimation method of actual heating heat index based on elastic network regression model[J]. Thermal Power Generation, 2024 , 53 (2) : 114 -123 . DOI: 10.19666/j.rlfd.202307110
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  • Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ21-H60)
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Year 2024 volume 53 Issue 2
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Article Info
doi: 10.19666/j.rlfd.202307110
  • Receive Date：2023-07-13
  • Online Date：2025-12-31
  • Published：2024-02-25
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History
  • Received：2023-07-13
Funding
Science and Technology Project of China Huaneng Group Co., Ltd.(HNKJ21-H60)
Affiliations
    1.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, China
    2.Shandong Fadian Company of Huaneng Group Co. Ltd., Jinan 250014, China
    3.School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202307110
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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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