PV system predictive maintenance: Challenges, current approaches, and opportunities
Within the United States solar energy industry, there is a general motto of “set it and forget it”
with solar energy. This notion is derived from much of the research and reliability studies …
with solar energy. This notion is derived from much of the research and reliability studies …
Intelligent controllers and optimization algorithms for building energy management towards achieving sustainable development: challenges and prospects
Buildings account for a significant amount of energy consumption leading to the issues of
global emissions and climate change. Thus, energy management in a building is …
global emissions and climate change. Thus, energy management in a building is …
Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation
There have been increasing concerns over the air quality inside buildings as high levels of
bio-effluents can cause nausea, dizziness, headaches, and fatigue to the people working in …
bio-effluents can cause nausea, dizziness, headaches, and fatigue to the people working in …
Ten questions concerning model predictive control for energy efficient buildings
Buildings are dynamical systems with several control challenges: large storage capacities,
switching aggregates, technical and thermal constraints, and internal and external …
switching aggregates, technical and thermal constraints, and internal and external …
Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort
Efficient HVAC devices are not sufficient to achieve high levels of building energy
performance, since the regulation/control strategy plays a fundamental role. This study …
performance, since the regulation/control strategy plays a fundamental role. This study …
Optimizing space cooling of a nearly zero energy building via model predictive control: Energy cost vs comfort
The space conditioning of buildings is liable for more than 10% of World final energy uses
and related CO2-eq emissions. Such share must be drastically reduced to pursue …
and related CO2-eq emissions. Such share must be drastically reduced to pursue …
A solar forecasting framework based on federated learning and distributed computing
Solar forecasting is a crucial and cost-effective tool for better utilization of solar energy for
smart environment design. Artificial intelligence (AI) technologies, such as machine learning …
smart environment design. Artificial intelligence (AI) technologies, such as machine learning …
Improved cooling tower control of legacy chiller plants by optimizing the condenser water set point
Achieving the optimal control of cooling towers is critical to the energy-efficient operation of
current or legacy chiller plants. Although many promising control methods have been …
current or legacy chiller plants. Although many promising control methods have been …
Information and Communications Technologies (ICTs) for energy efficiency in buildings: Review and analysis of results from EU pilot projects
AJ Morán, P Profaizer, MH Zapater, MA Valdavida… - Energy and …, 2016 - Elsevier
Abstract Information and Communications Technologies (ICTs) can play a potential role in
improving the energy performance of buildings by the implementation of effective solutions …
improving the energy performance of buildings by the implementation of effective solutions …
A novel cost-optimizing demand response control for a heat pump heated residential building
V Arabzadeh, B Alimohammadisagvand, J Jokisalo… - Building …, 2018 - Springer
The present article describes the integration of a data-driven predictive demand response
control for residential buildings with heat pump and on-site energy generation. The data …
control for residential buildings with heat pump and on-site energy generation. The data …