Artificial neural networks in MPPT algorithms for optimization of photovoltaic power systems: A review
The use of photovoltaic systems for clean electrical energy has increased. However, due to
their low efficiency, researchers have looked for ways to increase their effectiveness and …
their low efficiency, researchers have looked for ways to increase their effectiveness and …
Advances in fault condition monitoring for solar photovoltaic and wind turbine energy generation: A review
Renewable energy-based power generation technologies are becoming more and more
popular since they represent alternative solutions to the recent economic and environmental …
popular since they represent alternative solutions to the recent economic and environmental …
[HTML][HTML] Output power prediction of stratospheric airship solar array based on surrogate model under global wind field
SUN Kangwen, LIU Siyu, GAO Yixiang… - Chinese Journal of …, 2024 - Elsevier
Stratospheric airships are lighter-than-air vehicles capable of continuous flying for months.
The energy balance of the airship is the key to long-duration flights. The stratospheric airship …
The energy balance of the airship is the key to long-duration flights. The stratospheric airship …
Predicting solar radiation for space heating with thermal storage system based on temporal convolutional network-attention model
X Kong, X Du, Z Xu, G Xue - Applied Thermal Engineering, 2023 - Elsevier
Multi-source heating systems have great potential for energy-saving and renewable energy
source integration in buildings. The flexibility of electrical heating and thermal energy …
source integration in buildings. The flexibility of electrical heating and thermal energy …
A novel approach to improve software defect prediction accuracy using machine learning
In software engineering community, defect prediction is one the active domain. For the
software's success, it is essential to reduce the software engineering and data-mining gap …
software's success, it is essential to reduce the software engineering and data-mining gap …
Solar Radiation Forecasting: A Systematic Meta-Review of Current Methods and Emerging Trends
Effective solar forecasting has become a critical topic in the scholarly literature in recent
years due to the rapid growth of photovoltaic energy production worldwide and the inherent …
years due to the rapid growth of photovoltaic energy production worldwide and the inherent …
Optimal surrogate building using SVR for an industrial grinding process
Transient states modeling of industrial grinding process with significant accuracy is
extremely essential to run these energy intensive processes in optimal conditions ensuring …
extremely essential to run these energy intensive processes in optimal conditions ensuring …
Estimation of one-minute direct normal irradiance using a deep neural network for five climate zones
Due to its high cost and significance for solar thermal technologies, the calculation of direct
normal irradiance has dominated the modelling of solar radiation components. There are …
normal irradiance has dominated the modelling of solar radiation components. There are …
A review of recent developments in the application of machine learning in solar thermal collector modelling
M Vakili, SA Salehi - Environmental Science and Pollution Research, 2023 - Springer
Over the past few decades, the popularity of solar thermal collectors has increased
dramatically because of many significant advantages like being a free, natural …
dramatically because of many significant advantages like being a free, natural …
Comparative optimization of global solar radiation forecasting using machine learning and time series models
The increasing use of solar energy as a source of renewable energy has led to increasing
the interest in photovoltaic (PV) power outputs forecasting. In the meantime, forecasting …
the interest in photovoltaic (PV) power outputs forecasting. In the meantime, forecasting …