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AI and Data Democratisation for Intelligent Energy Management
Review

Big Data Value Chain: Multiple Perspectives for the Built Environment

1
CARTIF Technology Centre, Parque Tecnológico de Boecillo, Boecillo, 47151 Valladolid, Spain
2
Decision Support Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, 15780 Athens, Greece
3
HOLISTIC IKE, 15343 Athens, Greece
4
Institute for Renewable Energy, Eurac Research, 39100 Bozen/Bolzano, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Dimitrios Katsaprakakis
Energies 2021, 14(15), 4624; https://doi.org/10.3390/en14154624
Received: 23 June 2021 / Revised: 21 July 2021 / Accepted: 26 July 2021 / Published: 30 July 2021
(This article belongs to the Special Issue Big Data Applications for Intelligent Energy Management in Buildings)
Current climate change threats and increasing CO2 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. View Full-Text
Keywords: big data; artificial intelligence; machine learning; analytics; building stock big data; artificial intelligence; machine learning; analytics; building stock
MDPI and ACS Style

Hernández-Moral, G.; Mulero-Palencia, S.; Serna-González, V.I.; Rodríguez-Alonso, C.; Sanz-Jimeno, R.; Marinakis, V.; Dimitropoulos, N.; Mylona, Z.; Antonucci, D.; Doukas, H. Big Data Value Chain: Multiple Perspectives for the Built Environment. Energies 2021, 14, 4624. https://doi.org/10.3390/en14154624

AMA Style

Hernández-Moral G, Mulero-Palencia S, Serna-González VI, Rodríguez-Alonso C, Sanz-Jimeno R, Marinakis V, Dimitropoulos N, Mylona Z, Antonucci D, Doukas H. Big Data Value Chain: Multiple Perspectives for the Built Environment. Energies. 2021; 14(15):4624. https://doi.org/10.3390/en14154624

Chicago/Turabian Style

Hernández-Moral, Gema, Sofía Mulero-Palencia, Víctor I. Serna-González, Carla Rodríguez-Alonso, Roberto Sanz-Jimeno, Vangelis Marinakis, Nikos Dimitropoulos, Zoi Mylona, Daniele Antonucci, and Haris Doukas. 2021. "Big Data Value Chain: Multiple Perspectives for the Built Environment" Energies 14, no. 15: 4624. https://doi.org/10.3390/en14154624

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