[PDF][PDF] Thinkhome energy efficiency in future smart homes

C Reinisch, MJ Kofler, F Iglesias, W Kastner - EURASIP Journal on …, 2011 - Springer
Smart homes have been viewed with increasing interest by both home owners and the
research community in the past few years. One reason for this development is that the use of …

Big data: the key to energy efficiency in smart buildings

MV Moreno, L Dufour, AF Skarmeta, AJ Jara… - Soft Computing, 2016 - Springer
Due to the high impact that energy consumption by buildings has at global scale, energy-
efficient buildings to reduce CO _2 CO 2 emissions and energy consumption are needed. In …

Energy optimization using a case-based reasoning strategy

A González-Briones, J Prieto, F De La Prieta… - Sensors, 2018 - mdpi.com
At present, the domotization of homes and public buildings is becoming increasingly
popular. Domotization is most commonly applied to the field of energy management, since it …

A two-stage Energy Management System for smart buildings reducing the impact of demand uncertainty

MC Di Piazza, G La Tona, M Luna, A Di Piazza - Energy and Buildings, 2017 - Elsevier
This paper proposes a novel two-stage Energy Management System (EMS) that is suitable
for small-scale grid-connected electrical systems, such as smart homes and buildings …

[HTML][HTML] Artificial intelligence in renewable systems for transformation towards intelligent buildings

Y Zhou - Energy and AI, 2022 - Elsevier
Carbon-neutrality transition in building sectors requires combinations of renewable systems
and artificial intelligence (AI) for robustness, reliability, automation, and flexibility. In this …

Machine learning optimization model for reducing the electricity loads in residential energy forecasting

B Wang, X Wang, N Wang, Z Javaheri… - … Informatics and Systems, 2023 - Elsevier
Recently, households have consumed more power by overusing refrigerators, mobiles,
washing machines, and electrical appliances. The incoming energy needs to be optimized …

A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models

Z Wang, RS Srinivasan - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Building energy use prediction plays an important role in building energy management and
conservation as it can help us to evaluate building energy efficiency, conduct building …

[PDF][PDF] Smart Energy Management System Using Machine Learning

A Akram, S Abbas, M Khan, A Athar… - … , Materials & Continua, 2024 - researchgate.net
Energy management is an inspiring domain in developing of renewable energy sources.
However, the growth of decentralized energy production is revealing an increased …

Energy sustainability in smart cities: Artificial intelligence, smart monitoring, and optimization of energy consumption

KT Chui, MD Lytras, A Visvizi - Energies, 2018 - mdpi.com
Energy sustainability is one of the key questions that drive the debate on cities' and urban
areas development. In parallel, artificial intelligence and cognitive computing have emerged …

Multi-agent systems applications in energy optimization problems: A state-of-the-art review

A González-Briones, F De La Prieta, MS Mohamad… - Energies, 2018 - mdpi.com
This article reviews the state-of-the-art developments in Multi-Agent Systems (MASs) and
their application to energy optimization problems. This methodology and related tools have …