[HTML][HTML] A review of solar hybrid photovoltaic-thermal (PV-T) collectors and systems

M Herrando, K Wang, G Huang, T Otanicar… - Progress in Energy and …, 2023 - Elsevier
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 …

[HTML][HTML] An overview of machine learning applications for smart buildings

K Alanne, S Sierla - Sustainable Cities and Society, 2022 - Elsevier
The efficiency, flexibility, and resilience of building-integrated energy systems are
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 …

[HTML][HTML] Reinforcement learning for HVAC control in intelligent buildings: A technical and conceptual review

K Al Sayed, A Boodi, RS Broujeny, K Beddiar - Journal of Building …, 2024 - Elsevier
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 …

Reinforcement learning for predictive maintenance: A systematic technical review

R Siraskar, S Kumar, S Patil, A Bongale… - Artificial Intelligence …, 2023 - Springer
The manufacturing world is subject to ever-increasing cost optimization pressures.
Maintenance adds to cost and disrupts production; optimized maintenance is therefore of …

[HTML][HTML] Random Forest model to predict solar water heating system performance

I Lillo-Bravo, J Vera-Medina, C Fernandez-Peruchena… - Renewable Energy, 2023 - Elsevier
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 …

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 …

Forecasting solar-thermal systems performance under transient operation using a data-driven machine learning approach based on the deep operator network …

JD Osorio, Z Wang, G Karniadakis, S Cai… - Energy Conversion and …, 2022 - Elsevier
Modeling and prediction of the dynamic behavior of thermal systems operating under
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

JD Gil, A Topa, JD Álvarez, JL Torres… - … and Sustainable Energy …, 2022 - Elsevier
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 …

Dynamic optimization with flexible heat integration of a solar parabolic trough collector plant with thermal energy storage used for industrial process heat

J Immonen, KM Powell - Energy Conversion and Management, 2022 - Elsevier
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 …