Energy Consumption and Thermal Modelling Dataset for Multi-Zone Residential apartment Building
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Energy Consumption and Thermal Modelling Dataset for Multi-Zone Residential apartment Building
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Identifier |
https://doi.org/10.7910/DVN/SPNY8U
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Creator |
Diaz Ramirez, Juan Pablo
Nagarsheth, Shaival Henao, Nilson Ducuara Ramirez, Camilo Enrique Agbossou, Kodjo |
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Publisher |
Harvard Dataverse
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Description |
This dataset primarily comprises synthetic data of a multi-unit residential apartment building meticulously curated to encompass crucial variables, offering a comprehensive understanding of the intricate dynamics involved. That can be useful in learning data-driven thermal models and developing strategies for energy management in transactive energy frameworks. Also a predicted dataset for future energy consumption based on the aging factors is also presented. The compressed folder “Residential Apartment Building” contains two sub-folders: “Building behavioural data” and “aging data”. The behavioural data is granulated to a 1-minute time step, and aging data is granulated to a 1-hour time step.
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Subject |
Computer and Information Science
Engineering Energy Consumption, Energy Demand, Electric Baseboard Heater, Multi-unit Residential Building, Winter Data, Indoor Climate |
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Date |
2024-02-20
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Contributor |
Nagarsheth, Shaival
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