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Big Data Value Chain: Multiple Perspectives for the Built Environment
| Content Provider | MDPI |
|---|---|
| Author | Gema, Hernández-Moral Víctor Serna-González, Carla, Rodríguez-Alonso Mulero-Palencia, Sofía Sanz-Jimeno, Roberto Marinakis, Vangelis Dimitropoulos, Nikos Mylona, Zoi Antonucci, Daniele Doukas, Haris |
| Copyright Year | 2021 |
| Description | Current climate change threats and increasing $CO_{2}$ emissions, especially from the building stock, represent a context where action is required. It is necessary to provide efficient manners to manage energy demand in buildings and contribute to a decarbonised future. By combining new technologies, such as artificial intelligence, Internet of things, blockchain, and the exploitation of big data towards solving real life problems, the way could be paved towards smart and energy-aware buildings. In this context, the aim of this paper is to present a critical review and an in-detail definition of the big data value chain for the built environment in Europe, covering multiple needs and perspectives: “policy”, “technology” and “business”, in order to explore the main challenges and opportunities in this area. |
| Starting Page | 4624 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en14154624 |
| Journal | Energies |
| Issue Number | 15 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-07-30 |
| Access Restriction | Open |
| Subject Keyword | Energies Information and Library Science Big Data Artificial Intelligence Machine Learning Analytics Building Stock |
| Content Type | Text |
| Resource Type | Article |
