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Part 1: Document Description
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Citation |
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Title: |
Building electrical load data and weather data in Shenzhen city, China |
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Identification Number: |
doi:10.7910/DVN/AFRUJ8 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2025-12-01 |
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Version: |
1 |
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Bibliographic Citation: |
Li, Zhiwei, 2025, "Building electrical load data and weather data in Shenzhen city, China", https://doi.org/10.7910/DVN/AFRUJ8, Harvard Dataverse, V1 |
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Citation |
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Title: |
Building electrical load data and weather data in Shenzhen city, China |
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Identification Number: |
doi:10.7910/DVN/AFRUJ8 |
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Authoring Entity: |
Li, Zhiwei (https://ror.org/0030zas98) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Li, Zhiwei |
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Depositor: |
Li, Zhiwei |
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Date of Deposit: |
2025-11-27 |
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Holdings Information: |
https://doi.org/10.7910/DVN/AFRUJ8 |
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Study Scope |
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Keywords: |
Engineering |
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Abstract: |
This dataset includes the electrical load data from 141 buildings (5 types) and weather data in Shenzhen city, China |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Title: |
Efficiency-trustworthiness-privacy framework for heterogeneous customer baseline load aggregation in demand response: personalized federated learning with reputation-scoring mechanism |
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Bibliographic Citation: |
Efficiency-trustworthiness-privacy framework for heterogeneous customer baseline load aggregation in demand response: personalized federated learning with reputation-scoring mechanism |
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Label: |
BuildingLoadData.rar |
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Text: |
Electrical load data from 141 buildings (5 types) in 2023 in Shenzhen city, China |
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Notes: |
application/x-compressed |
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Label: |
WeatherData.rar |
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Text: |
Weather data in 2023 in Shenzhen city, China |
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Notes: |
application/x-compressed |