Academic Journal
GreEn-ER–Electricity consumption data of a tertiary building
| العنوان: | GreEn-ER–Electricity consumption data of a tertiary building |
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| المؤلفون: | Gustavo Felipe Martin Nascimento, Frédéric Wurtz, Patrick Kuo-Peng, Benoit Delinchant, Nelson Jhoe Batistela, Tiansi Laranjeira |
| المصدر: | Frontiers in Sustainable Cities, Vol 5 (2023) |
| بيانات النشر: | Frontiers Media S.A., 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Science (General) LCC:Social sciences (General) |
| مصطلحات موضوعية: | training data, electricity consumption dataset, tertiary buildings, buildings’ electricity consumption, data report, Science (General), Q1-390, Social sciences (General), H1-99 |
| الوصف: | The increased use of intermittent renewable energy sources makes the use of machine learning methods combined with demand-side management more and more frequent. Machine learning algorithms rely on data to identify patterns and learn insights. Hence, data availability is of utmost importance, and the more, the merrier. Therefore, this data report aims to present a dataset concerning the electricity consumption of a tertiary building located in the French Alps region (Grenoble) in 2017 and 2018. It is a massively monitored and controlled building with about 330 electricity meters, whose measurement data constitute the dataset. The data were collected directly from the building management system and correspond to raw data, without any pre-treatment. The dataset also includes Python notebooks that allow for understanding the system design, navigating the data, and performing some simple analyses. This is a publicly available dataset that tries to fill the gap of the availability of electricity consumption data, especially regarding tertiary buildings. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2624-9634 |
| Relation: | https://www.frontiersin.org/articles/10.3389/frsc.2023.1043657/full; https://doaj.org/toc/2624-9634 |
| DOI: | 10.3389/frsc.2023.1043657 |
| URL الوصول: | https://doaj.org/article/f5d9be770d5349018a11bd08ee774e2a |
| رقم الانضمام: | edsdoj.f5d9be770d5349018a11bd08ee774e2a |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 26249634 |
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| DOI: | 10.3389/frsc.2023.1043657 |