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Article

A Data-Driven Energy Platform: From Energy Performance Certificates to Human-Readable Knowledge through Dynamic High-Resolution Geospatial Maps

1
Department of Control and Computer Engineering, Politecnico di Torino, 10129 Torino, Italy
2
Department of Energy “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy
3
Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy
4
Edison S.p.a., 10129 Torino, Italy
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(12), 2132; https://doi.org/10.3390/electronics9122132
Received: 20 November 2020 / Revised: 6 December 2020 / Accepted: 8 December 2020 / Published: 12 December 2020
(This article belongs to the Special Issue Big Data Analytics for Smart Cities)
The energy performance certificate (EPC) is a document that certifies the average annual energy consumption of a building in standard conditions and allows it to be classified within a so-called energy class. In a period such as this, when greenhouse gas emissions are of considerable importance and where the objective is to improve energy security and reduce energy costs in our cities, energy certification has a key role to play. The proposed work aims to model and characterize residential buildings’ energy efficiency by exploring heterogeneous, geo-referenced data with different spatial and temporal granularity. The paper presents TUCANA (TUrin Certificates ANAlysis), an innovative data mining engine able to cover the whole analytics workflow for the analysis of the energy performance certificates, including cluster analysis and a model generalization step based on a novel spatial constrained K-NN, able to automatically characterize a broad set of buildings distributed across a major city and predict different energy-related features for new unseen buildings. The energy certificates analyzed in this work have been issued by the Piedmont Region (a northwest region of Italy) through open data. The results obtained on a large dataset are displayed in novel, dynamic, and interactive geospatial maps that can be consulted on a web application integrated into the system. The visualization tool provides transparent and human-readable knowledge to various stakeholders, thus supporting the decision-making process. View Full-Text
Keywords: data exploration; data visualization; energy performance certificates; energy maps; spatial constrained K-NN data exploration; data visualization; energy performance certificates; energy maps; spatial constrained K-NN
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MDPI and ACS Style

Cerquitelli, T.; Di Corso, E.; Proto, S.; Bethaz, P.; Mazzarelli, D.; Capozzoli, A.; Baralis, E.; Mellia, M.; Casagrande, S.; Tamburini, M. A Data-Driven Energy Platform: From Energy Performance Certificates to Human-Readable Knowledge through Dynamic High-Resolution Geospatial Maps. Electronics 2020, 9, 2132. https://doi.org/10.3390/electronics9122132

AMA Style

Cerquitelli T, Di Corso E, Proto S, Bethaz P, Mazzarelli D, Capozzoli A, Baralis E, Mellia M, Casagrande S, Tamburini M. A Data-Driven Energy Platform: From Energy Performance Certificates to Human-Readable Knowledge through Dynamic High-Resolution Geospatial Maps. Electronics. 2020; 9(12):2132. https://doi.org/10.3390/electronics9122132

Chicago/Turabian Style

Cerquitelli, Tania, Evelina Di Corso, Stefano Proto, Paolo Bethaz, Daniele Mazzarelli, Alfonso Capozzoli, Elena Baralis, Marco Mellia, Silvia Casagrande, and Martina Tamburini. 2020. "A Data-Driven Energy Platform: From Energy Performance Certificates to Human-Readable Knowledge through Dynamic High-Resolution Geospatial Maps" Electronics 9, no. 12: 2132. https://doi.org/10.3390/electronics9122132

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