Mining typical load profiles in buildings to support energy management in the smart city context

Author:

Capozzoli Alfonso,Piscitelli Marco Savino,Brandi Silvio

Publisher

Elsevier BV

Reference43 articles.

1. Kmetty Z. Technical report - D4. 1 Load Profile Classification WP4–Classification of EU residential energy consumers. 2017; 80.

2. Chapter 11–Enhancing energy efficiency in buildings through innovative data analytics technologies, in: D. Ciprian, F. Xhafa (Eds.);Capozzoli;Pervasive Comput,2016

3. A framework for knowledge discovery in massive building automation data and its application in building diagnostics;Fan;Autom Constr,2015

4. Data Science for Building Energy Management: a Review;Molina-Solana;Renew Sustain Energy Rev,2017

5. Extracting knowledge from building-related data - A data mining framework;Yu;Build Simul,2013

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