Open data and energy analytics

Journal article (2020)

Authors

B. Nastasi Building Physics - Architecture and the Built Environment , Sapienza University of Rome
Massimiliano Manfren University of Southampton
Michel Noussan Politecnico di Torino, Fondazione Eni Enrico Mattei
Research Group
Building Physics (Architecture and the Built Environment) (TU Delft)
Copyright: © 2020 B. Nastasi, Massimiliano Manfren, Michel Noussan
DOI
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https://doi.org/10.3390/en13092334
Machine learning Data mining Energy modelling Energy planning Smart cities Building dataset Energy mapping Open data analytics Open energy governance Urban database
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Published Date

2020

Language

English

Faculty

Architecture and the Built Environment

Department

Architectural Engineering +Technology

Research Group

Building Physics

Abstract

This pioneering 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 at different scales, i.e., building, district, and regional for data-aware planning and policy-making. Ten high-quality papers were published after a demanding peer review process and are commented on in this Editorial.