Open data and energy analytics

Benedetto Nastasi; Massimiliano Manfren; Michel Noussan

doi:10.3390/en13092334

Open data and energy analytics

Benedetto Nastasi^*, Massimiliano Manfren, Michel Noussan

^*Corresponding author for this work

Building Physics

Research output: Contribution to journal › Editorial › Scientific › peer-review

7 Citations (Scopus)

59 Downloads (Pure)

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.

Original language	English
Article number	2334
Number of pages	3
Journal	Energies
Volume	13
Issue number	9
DOIs	https://doi.org/10.3390/en13092334
Publication status	Published - 2020

Keywords

Building dataset
Data mining
Energy mapping
Energy modelling
Energy planning
Machine learning
Open data analytics
Open energy governance
Smart cities
Urban database

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/en13092334

energies-13-02334-v2Final published version, 155 KBLicence: CC BY

Cite this

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KW - Building dataset

KW - Data mining

KW - Energy mapping

KW - Energy modelling

KW - Energy planning

KW - Machine learning

KW - Open data analytics

KW - Open energy governance

KW - Smart cities

KW - Urban database

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Open data and energy analytics

Abstract

Keywords

UN SDGs

Access to Document

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