[HTML][HTML] A review of solar hybrid photovoltaic-thermal (PV-T) collectors and systems
In this paper, we provide a comprehensive overview of the state-of-the-art in hybrid PV-T
collectors and the wider systems within which they can be implemented, and assess the …
collectors and the wider systems within which they can be implemented, and assess the …
[HTML][HTML] An overview of machine learning applications for smart buildings
The efficiency, flexibility, and resilience of building-integrated energy systems are
challenged by unpredicted changes in operational environments due to climate change and …
challenged by unpredicted changes in operational environments due to climate change and …
[HTML][HTML] Advances of machine learning in multi-energy district communities‒mechanisms, applications and perspectives
Y Zhou - Energy and AI, 2022 - Elsevier
Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …
efforts in cleaner power production, advanced energy storages, flexible district energy …
[HTML][HTML] Reinforcement learning for HVAC control in intelligent buildings: A technical and conceptual review
Abstract Heating, Ventilation and Air Conditioning (HVAC) systems in buildings are a major
source of global operational CO 2 emissions, primarily due to their high energy demands …
source of global operational CO 2 emissions, primarily due to their high energy demands …
Reinforcement learning for predictive maintenance: A systematic technical review
The manufacturing world is subject to ever-increasing cost optimization pressures.
Maintenance adds to cost and disrupts production; optimized maintenance is therefore of …
Maintenance adds to cost and disrupts production; optimized maintenance is therefore of …
[HTML][HTML] Random Forest model to predict solar water heating system performance
This research proposes a Random Forest RF model to replace the experimental tests
required by the ISO 9459–5: 2007 for predicting the annual energy supplied and the solar …
required by the ISO 9459–5: 2007 for predicting the annual energy supplied and the solar …
Configuration optimization of an off-grid multi-energy microgrid based on modified NSGA-II and order relation-TODIM considering uncertainties of renewable energy …
Z Lu, Y Gao, C Xu, Y Li - Journal of Cleaner Production, 2023 - Elsevier
This study develops a two-stage hybrid decision framework to configure an off-grid multi-
energy microgrid (MEMG) while considering uncertainties in renewable energy resources …
energy microgrid (MEMG) while considering uncertainties in renewable energy resources …
Forecasting solar-thermal systems performance under transient operation using a data-driven machine learning approach based on the deep operator network …
Modeling and prediction of the dynamic behavior of thermal systems operating under
intermittent energy input and variable load requirements represent one of the greatest …
intermittent energy input and variable load requirements represent one of the greatest …
[HTML][HTML] A review from design to control of solar systems for supplying heat in industrial process applications
The use of solar thermal systems to produce heat for industrial processes is a feasible option
that is gaining increasing interest in recent years as an initiative toward the zero-carbon …
that is gaining increasing interest in recent years as an initiative toward the zero-carbon …
Dynamic optimization with flexible heat integration of a solar parabolic trough collector plant with thermal energy storage used for industrial process heat
There is an increasing need to reduce fossil fuel consumption used for industrial process
heat to slow the effects of climate change. Using solar thermal heat is a viable way to …
heat to slow the effects of climate change. Using solar thermal heat is a viable way to …