Artificial neural networks applications in partially shaded PV systems
Renewable energy sources have attracted attention in the last few years as an efficient and
sustainable alternative to conventional fossil fuels. Among these sources, solar power …
sustainable alternative to conventional fossil fuels. Among these sources, solar power …
Current prospects of building-integrated solar PV systems and the application of bifacial PVs
Building-integrated solar photovoltaic (BIPV) systems have gained attention in current years
as a way to recover the building's thermal comfort and generate sustainable energy in …
as a way to recover the building's thermal comfort and generate sustainable energy in …
[Retracted] PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID‐19 with Multiple‐Way Data Augmentation
Aim. COVID‐19 has caused large death tolls all over the world. Accurate diagnosis is of
significant importance for early treatment. Methods. In this study, we proposed a novel …
significant importance for early treatment. Methods. In this study, we proposed a novel …
Rapid and accurate modeling of PV modules based on extreme learning machine and large datasets of IV curves
Efficient and accurate photovoltaic (PV) modeling plays an important role in optimal
evaluation and operation of PV power systems. Using current–voltage (IV) curves measured …
evaluation and operation of PV power systems. Using current–voltage (IV) curves measured …
Accurate modeling of photovoltaic modules using a 1-D deep residual network based on IV characteristics
Accurate and reliable modeling of photovoltaic (PV) modules is significant for optimal
design, operation and evaluation of PV systems. PV models can be classified into equivalent …
design, operation and evaluation of PV systems. PV models can be classified into equivalent …
Modeling and fault categorization in thin-film and crystalline PV arrays through multilayer neural network algorithm
Categorization of PV faults is an essential task for improving the efficiency and reliability of a
photovoltaic (PV) system. Output characteristics of a solar (PV) system can be severely …
photovoltaic (PV) system. Output characteristics of a solar (PV) system can be severely …
[HTML][HTML] Energy performance analytical review of semi-transparent photovoltaics glazing in the United Kingdom
H Musameh, H Alrashidi, F Al-Neami, W Issa - Journal of Building …, 2022 - Elsevier
This work reviews the recent achieved advancement in semi-transparent photovoltaics
(STPV) glazing systems, which are considered as a possible solution to improve the thermal …
(STPV) glazing systems, which are considered as a possible solution to improve the thermal …
DC environment for a refrigerator with variable speed compressor; power consumption profile and performance comparison
DC power distribution in residential sector has regained interest among researchers and
industrial players as new electronics-based appliances became locally available. However …
industrial players as new electronics-based appliances became locally available. However …
Prediction of I–V characteristic curve for photovoltaic modules based on convolutional neural network
J Li, R Li, Y Jia, Z Zhang - Sensors, 2020 - mdpi.com
Photovoltaic (PV) modules are exposed to the outside, which is affected by radiation, the
temperature of the PV module back-surface, relative humidity, atmospheric pressure and …
temperature of the PV module back-surface, relative humidity, atmospheric pressure and …
[HTML][HTML] Improvement on energy consumption of a refrigerator within PV system including battery storage
Refrigerators consume significantly high energy and the improvement on their efficiency is
essential to minimize greenhouse gas emission. Understanding the power consumption …
essential to minimize greenhouse gas emission. Understanding the power consumption …