Open Data and Energy Analytics

Benedetto Nastasi; Massimiliano Manfren; Michel Noussan

LAPSE

Living Archive for Process Systems Engineering

LAPSE:2023.34306

Published Article

LAPSE:2023.34306

Open Data and Energy Analytics

Benedetto Nastasi, Massimiliano Manfren, Michel Noussan

April 25, 2023

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.

Record ID

LAPSE:2023.34306

Keywords

building dataset, data mining, energy mapping, energy modelling, energy planning, Machine Learning, open data analytics, open energy governance, smart cities, urban database

Subject

Planning & Scheduling

Suggested Citation

Nastasi B, Manfren M, Noussan M. Open Data and Energy Analytics. (2023). LAPSE:2023.34306

Author Affiliations

Nastasi B: Department of Planning, Design and Technology of Architecture, Sapienza University of Rome, Via Flaminia 72, 00196 Rome, Italy; Department of Architectural Engineering & Technology, TU Delft University of Technology, Julianalaan 134, 2628BL Delft, The Net [ORCID]
Manfren M: Faculty of Engineering and Physical Sciences, University of Southampton, Boldrewood Innovation Campus, Burgess Rd, Southampton SO16 7QF, UK
Noussan M: Fondazione Eni Enrico Mattei, Corso Magenta 63, 20123 Milano, Italy; Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy [ORCID]

Journal Name

Energies

Volume

13

Issue

9

Article Number

E2334

Year

2020

Publication Date

2020-05-07