Real-World Implementation of an ICT-Based Platform to Promote Energy Efficiency

Marina Dorokhova, Fernando Ribeiro, António Barbosa, João Viana, Filipe Soares and Nicolas Wyrsch
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Marina Dorokhova: École Polytechnique Fédérale de Lausanne (EPFL), STI IMT PV-LAB, MC A2 304 (Microcity), Rue de la Maladière 71b, CH-2002 Neuchâtel, Switzerland
Fernando Ribeiro: Institute for Systems and Computing Engineering, Tecnology and Science (INESC TEC), Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
António Barbosa: Institute for Systems and Computing Engineering, Tecnology and Science (INESC TEC), Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
João Viana: Institute for Systems and Computing Engineering, Tecnology and Science (INESC TEC), Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
Filipe Soares: Institute for Systems and Computing Engineering, Tecnology and Science (INESC TEC), Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
Nicolas Wyrsch: École Polytechnique Fédérale de Lausanne (EPFL), STI IMT PV-LAB, MC A2 304 (Microcity), Rue de la Maladière 71b, CH-2002 Neuchâtel, Switzerland

Energies, 2021, vol. 14, issue 9, 1-23

Abstract: The energy efficiency requirements of most energy-consuming sectors have increased recently in response to climate change. For buildings, this means targeting both facility managers and building users with the aim of identifying potential energy savings and encouraging more energy-responsible behaviors. The Information and Communication Technology (ICT) platform developed in Horizon 2020 FEEdBACk project intends to fulfill these goals by enabling the optimization of energy consumption, generation, and storage and control of flexible devices without compromising comfort levels and indoor air quality parameters. This work aims to demonstrate the real-world implementation and functionality of the ICT platform composed of Load Disaggregation, Net Load Forecast, Occupancy Forecast, Automation Manager, and Behavior Predictor applications. Particularly, the results obtained by individual applications during the test phase are presented alongside the specific metrics used to evaluate their performance.

Keywords: behavioral change; building management; energy efficiency; ICT platform; machine learning application (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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