District cooling system via renewable energy sources: A review
According to different studies, building sector consumes around 40% of the total energy
produced and it is responsible for a major portion of the greenhouse gas (GHG) emissions …
produced and it is responsible for a major portion of the greenhouse gas (GHG) emissions …
[HTML][HTML] Intelligent monitoring of photovoltaic panels based on infrared detection
X Wang, W Yang, B Qin, K Wei, Y Ma, D Zhang - Energy Reports, 2022 - Elsevier
With the continuously increasing application of photovoltaic (PV) panels, how to effectively
manage these valuable facilities has become an issue of concern. To date, some methods …
manage these valuable facilities has become an issue of concern. To date, some methods …
Fault diagnostic methodologies for utility-scale photovoltaic power plants: a state of the art review
The worldwide electricity supply network has recently experienced a huge rate of solar
photovoltaic penetration. Grid-connected photovoltaic (PV) systems range from smaller …
photovoltaic penetration. Grid-connected photovoltaic (PV) systems range from smaller …
[HTML][HTML] Novel data-driven health-state architecture for photovoltaic system failure diagnosis
Accurate and cost-effective diagnosis and prognosis of photovoltaic (PV) system failures is
crucial for prolonged operational efficacy and minimizing operation and maintenance costs …
crucial for prolonged operational efficacy and minimizing operation and maintenance costs …
An approach for fault detection and location in solar PV systems
The task of fault detection and diagnosis in large-scale photovoltaic (PV) plants is expected
to be a major challenge as more and more plants with increasingly large capacities continue …
to be a major challenge as more and more plants with increasingly large capacities continue …
Inspecting mega solar plants through computer vision and drone technologies
This research presents a unique approach for monitoring the large-scale grid-connected
photovoltaic modules in solar power plants using state-of-art object detection YOLOv5 …
photovoltaic modules in solar power plants using state-of-art object detection YOLOv5 …
An unsupervised hourly weather status pattern recognition and blending fitting model for PV system fault detection
J Qu, Z Qian, Y Pei, L Wei, H Zareipour, Q Sun - Applied Energy, 2022 - Elsevier
Detecting PV system faults in a timely fashion is important to ensure the safe operation of
equipment and reduce their impact on the economy of the PV systems. It is necessary to …
equipment and reduce their impact on the economy of the PV systems. It is necessary to …
Integrated solar PV and piezoelectric based torched fly ash tiles for smart building applications with machine learning forecasting
P Mukilan, M Balasubramanian, R Narayanamoorthi… - Solar Energy, 2023 - Elsevier
Solar photovoltaic (PV) power generation projects are rapidly increasing since the necessity
for electricity has increased in developing countries like India. Still, the complexity of …
for electricity has increased in developing countries like India. Still, the complexity of …
A Review on Green Cooling: Exploring the Benefits of Sustainable Energy-Powered District Cooling with Thermal Energy Storage
This paper examines the economic and environmental impacts of district cooling systems
(DCS) that are integrated with renewable energy sources and thermal energy storage (TES) …
(DCS) that are integrated with renewable energy sources and thermal energy storage (TES) …
Hour-ahead photovoltaic power forecasting using an analog plus neural network ensemble method
J Wang, Z Qian, J Wang, Y Pei - Energies, 2020 - mdpi.com
The common analog approach and ensemble methods in photovoltaic (PV) power
forecasting are based on the forecasts from several numerical weather prediction (NWP) …
forecasting are based on the forecasts from several numerical weather prediction (NWP) …