Open Data and Energy Analytics
Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy,...
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| Định dạng: | Online |
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| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20210501_9783039362189_430 |
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| _version_ | 1869515328583630848 |
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| collection | Directory of Open Access Books |
| description | Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and planners must provide the simplest and most robust tools to collect, process, and analyze data in order to offer solid data-based evidence for future projections in building, district, and regional systems planning. This Special Issue aims at providing the state-of-the-art on open-energy data analytics; its availability in the different contexts, i.e., country peculiarities; and its availability at different scales, i.e., building, district, and regional for data-aware planning and policy-making. For all the aforementioned reasons, we encourage researchers to share their original works on the field of open data and energy analytics. Topics of primary interest include but are not limited to the following: 1. Open data and energy sustainability; 2. Open data science and energy planning; 3. Open science and open governance for sustainable development goals; 4. Key performance indicators of data-aware energy modelling, planning, and policy; 5. Energy, water, and sustainability database for building, district, and regional systems; 6. Best practices and case studies. |
| format | Online |
| id | doab-20.500.12854ir-68684 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-686842024-03-27T16:34:23Z Open Data and Energy Analytics Nastasi, Benedetto Manfren, Massimiliano Noussan, Michel data envelopment analysis Kohonen self-organizing maps factor analysis multiple regression energy efficiency social media energy-consuming activities energy consumption machine learning ontology energy performance certificate heating energy demand buildings data mining classification regression decision tree support vector machine random forest artificial neural network open data electrification modelling Malawi OnSSET MESSAGEix reproducibility collaborative work open modelling and data data-handling integrated assessment modelling data pre- and post-processing space heating domestic hot water market assessment EU28 district heating data analytics big data forecasting energy polygeneration clustering kNN pattern recognition heating building stock heat map spatial analysis heat density map building performance simulation parametric modelling energy management model calibration Passive House energy planning energy potential mapping urban energy atlas urban energy transition energy data data-aware planning spatial planning open data analytics smart cities open energy governance urban database energy mapping building dataset energy modelling thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and planners must provide the simplest and most robust tools to collect, process, and analyze data in order to offer solid data-based evidence for future projections in building, district, and regional systems planning. This Special Issue aims at providing the state-of-the-art on open-energy data analytics; its availability in the different contexts, i.e., country peculiarities; and its availability at different scales, i.e., building, district, and regional for data-aware planning and policy-making. For all the aforementioned reasons, we encourage researchers to share their original works on the field of open data and energy analytics. Topics of primary interest include but are not limited to the following: 1. Open data and energy sustainability; 2. Open data science and energy planning; 3. Open science and open governance for sustainable development goals; 4. Key performance indicators of data-aware energy modelling, planning, and policy; 5. Energy, water, and sustainability database for building, district, and regional systems; 6. Best practices and case studies. 2021-05-01T15:26:48Z 2021-05-01T15:26:48Z 2020 book ONIX_20210501_9783039362189_430 9783039362189 9783039362196 https://directory.doabooks.org/handle/20.500.12854/68684 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2449 https://mdpi.com/books/pdfview/book/2449 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03936-219-6 10.3390/books978-3-03936-219-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039362189 9783039362196 218 Basel, Switzerland open access |
| spellingShingle | data envelopment analysis Kohonen self-organizing maps factor analysis multiple regression energy efficiency social media energy-consuming activities energy consumption machine learning ontology energy performance certificate heating energy demand buildings data mining classification regression decision tree support vector machine random forest artificial neural network open data electrification modelling Malawi OnSSET MESSAGEix reproducibility collaborative work open modelling and data data-handling integrated assessment modelling data pre- and post-processing space heating domestic hot water market assessment EU28 district heating data analytics big data forecasting energy polygeneration clustering kNN pattern recognition heating building stock heat map spatial analysis heat density map building performance simulation parametric modelling energy management model calibration Passive House energy planning energy potential mapping urban energy atlas urban energy transition energy data data-aware planning spatial planning open data analytics smart cities open energy governance urban database energy mapping building dataset energy modelling thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Open Data and Energy Analytics |
| title | Open Data and Energy Analytics |
| title_full | Open Data and Energy Analytics |
| title_fullStr | Open Data and Energy Analytics |
| title_full_unstemmed | Open Data and Energy Analytics |
| title_short | Open Data and Energy Analytics |
| title_sort | open data and energy analytics |
| topic | data envelopment analysis Kohonen self-organizing maps factor analysis multiple regression energy efficiency social media energy-consuming activities energy consumption machine learning ontology energy performance certificate heating energy demand buildings data mining classification regression decision tree support vector machine random forest artificial neural network open data electrification modelling Malawi OnSSET MESSAGEix reproducibility collaborative work open modelling and data data-handling integrated assessment modelling data pre- and post-processing space heating domestic hot water market assessment EU28 district heating data analytics big data forecasting energy polygeneration clustering kNN pattern recognition heating building stock heat map spatial analysis heat density map building performance simulation parametric modelling energy management model calibration Passive House energy planning energy potential mapping urban energy atlas urban energy transition energy data data-aware planning spatial planning open data analytics smart cities open energy governance urban database energy mapping building dataset energy modelling thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | data envelopment analysis Kohonen self-organizing maps factor analysis multiple regression energy efficiency social media energy-consuming activities energy consumption machine learning ontology energy performance certificate heating energy demand buildings data mining classification regression decision tree support vector machine random forest artificial neural network open data electrification modelling Malawi OnSSET MESSAGEix reproducibility collaborative work open modelling and data data-handling integrated assessment modelling data pre- and post-processing space heating domestic hot water market assessment EU28 district heating data analytics big data forecasting energy polygeneration clustering kNN pattern recognition heating building stock heat map spatial analysis heat density map building performance simulation parametric modelling energy management model calibration Passive House energy planning energy potential mapping urban energy atlas urban energy transition energy data data-aware planning spatial planning open data analytics smart cities open energy governance urban database energy mapping building dataset energy modelling thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20210501_9783039362189_430 |