[HTML][HTML] Machine learning and deep learning in energy systems: A review
With population increases and a vital need for energy, energy systems play an important
and decisive role in all of the sectors of society. To accelerate the process and improve the …
and decisive role in all of the sectors of society. To accelerate the process and improve the …
[HTML][HTML] Systematic review analysis on smart building: Challenges and opportunities
Smart building technology incorporates efficient and automated controls and applications
that use smart energy products, networked sensors, and data analytics software to monitor …
that use smart energy products, networked sensors, and data analytics software to monitor …
Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study
With the increased severity, intensity, and frequency of “heatwaves” due to climate change, it
has become imperative to study the overheating risks in existing buildings. To do so, a …
has become imperative to study the overheating risks in existing buildings. To do so, a …
Empowering saving energy at home through serious games on thermostat interfaces
Abstract The residential Heating Ventilation and Air-Conditioning (HVAC) system use
around 3/5 of the total energy consumption. Connected thermostats optimize the HVAC …
around 3/5 of the total energy consumption. Connected thermostats optimize the HVAC …
Data-driven, long-term prediction of building performance under climate change: Building energy demand and BIPV energy generation analysis across Turkey
This research presents a methodological framework for lifetime energy demand and PV
energy generation predictions for a given building considering the CC impacts through …
energy generation predictions for a given building considering the CC impacts through …
Developing a collaborative control strategy of a combined radiant floor cooling and ventilation system: A PMV-based model
The development of collaborative control strategies for radiant cooling and ventilation
systems improves thermal comfort and energy efficiency. This study used the Transient …
systems improves thermal comfort and energy efficiency. This study used the Transient …
[HTML][HTML] Seasonal adaptation of VRF HVAC model calibration process to a Mediterranean climate
JE Pachano, A Peppas, CF Bandera - Energy and Buildings, 2022 - Elsevier
Abstract Today, Building Energy Models (BEM) have become essential in regulatory
compliance calculations, the correct assessment of it's Air Conditioning (AC) systems is …
compliance calculations, the correct assessment of it's Air Conditioning (AC) systems is …
A building energy models calibration methodology based on inverse modelling approach
VG González, CF Bandera - Building Simulation, 2022 - Springer
Nowadays, building energy models (BEMs) are widely used, particularly in the assessment
of energy consumption in buildings to address the potential savings that can be generated …
of energy consumption in buildings to address the potential savings that can be generated …
Thermal response time prediction-based control strategy for radiant floor heating system based on Gaussian process regression
Q Chen, N Li - Energy and Buildings, 2022 - Elsevier
One of the main obstacles to wider applications of radiant floor heating systems with great
thermal comfort and energy efficiency is the long response time caused by large thermal …
thermal comfort and energy efficiency is the long response time caused by large thermal …
New paradigms in bioclimatic design toward climatic change in arid environments
G Barea, MV Mercado, C Filippin, JM Monteoliva… - Energy and …, 2022 - Elsevier
Energy consumption in buildings has increased exponentially since the industrial revolution.
Given this scenario, the Argentinian government has proposed to implement energy …
Given this scenario, the Argentinian government has proposed to implement energy …