[HTML][HTML] Data-driven predictive control for unlocking building energy flexibility: A review
Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …
the increasing penetration of variable renewable energy sources. As significant end-use …
A review of thermal comfort models and indicators for indoor environments
D Enescu - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
This paper reviews the most used thermal comfort models and indicators with their variants,
discussing their usage in control problems referring to energy management in indoor …
discussing their usage in control problems referring to energy management in indoor …
Data-driven district energy management with surrogate models and deep reinforcement learning
G Pinto, D Deltetto, A Capozzoli - Applied Energy, 2021 - Elsevier
Demand side management at district scale plays a crucial role in the energy transition
process, being an ideal candidate to balance the needs of both users and grid, by managing …
process, being an ideal candidate to balance the needs of both users and grid, by managing …
Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach
How to predict building energy performance with low computational times and good
reliability? The study answers this question by employing artificial neural networks (ANNs) to …
reliability? The study answers this question by employing artificial neural networks (ANNs) to …
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 …
popular. Domotization is most commonly applied to the field of energy management, since it …
Computational intelligence techniques for HVAC systems: A review
Buildings are responsible for 40% of global energy use and contribute towards 30% of the
total CO2 emissions. The drive to reduce energy use and associated greenhouse gas …
total CO2 emissions. The drive to reduce energy use and associated greenhouse gas …
Modeling occupancy and behavior for better building design and operation—A critical review
People spend more than 90% of their life time in buildings, which makes occupant behavior
one of the leading influences of energy consumption in buildings. Occupancy and occupant …
one of the leading influences of energy consumption in buildings. Occupancy and occupant …
A review on energy consumption optimization techniques in IoT based smart building environments
In recent years, due to the unnecessary wastage of electrical energy in residential buildings,
the requirement of energy optimization and user comfort has gained vital importance. In the …
the requirement of energy optimization and user comfort has gained vital importance. In the …
A review on applications of fuzzy logic control for refrigeration systems
JM Belman-Flores, DA Rodríguez-Valderrama… - Applied Sciences, 2022 - mdpi.com
The use of fuzzy logic controllers in refrigeration and air conditioning systems, RACs, has as
main objective to maintain certain thermal and comfort conditions. In this sense, fuzzy …
main objective to maintain certain thermal and comfort conditions. In this sense, fuzzy …
Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms
Abstract Machine learning-based human thermal comfort prediction is becoming
increasingly popular as artificial intelligence (AI) technologies advance. Human skin …
increasingly popular as artificial intelligence (AI) technologies advance. Human skin …