A review on artificial intelligence applications for grid-connected solar photovoltaic systems
The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV)
systems, due to the increasing computational power, tools and data generation. The …
systems, due to the increasing computational power, tools and data generation. The …
A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine …
Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …
[HTML][HTML] Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models
Short-term photovoltaic (PV) power forecasting is essential for integrating renewable energy
sources into the grid as it provides accurate and timely information on the expected output of …
sources into the grid as it provides accurate and timely information on the expected output of …
Short-term solar power predicting model based on multi-step CNN stacked LSTM technique
Variability in solar irradiance has an impact on the stability of solar systems and the grid's
safety. With the decreasing cost of solar panels and recent advancements in energy …
safety. With the decreasing cost of solar panels and recent advancements in energy …
Artificial neural network-based output power prediction of grid-connected semitransparent photovoltaic system
PM Kumar, R Saravanakumar, A Karthick… - … Science and Pollution …, 2022 - Springer
The solar photovoltaic system is an emerging renewable energy resource. The performance
of the solar photovoltaic system is predicted based on the historical experimental dataset. In …
of the solar photovoltaic system is predicted based on the historical experimental dataset. In …
A Practical Approach for Predicting Power in a Small‐Scale Off‐Grid Photovoltaic System using Machine Learning Algorithms
Climate change and the energy crisis substantially motivated the use and development of
renewable energy resources. Solar power generation is being identified as the most …
renewable energy resources. Solar power generation is being identified as the most …
Big Data Security through Privacy–Preserving Data Mining (PPDM): A Decentralization Approach
R Josphineleela, S Kaliappan… - … on Electronics and …, 2023 - ieeexplore.ieee.org
The increasing familiarity and improvements in data mining technologies bring serious
security threats to the data of individuals. An emerging technology that provides better …
security threats to the data of individuals. An emerging technology that provides better …
Design of Efficient Off‐Grid Solar Photovoltaic Water Pumping System Based on Improved Fractional Open Circuit Voltage MPPT Technique
A Hmidet, U Subramaniam… - International Journal …, 2021 - Wiley Online Library
The main application of off‐grid solar photovoltaic (SPV) systems is water extraction in rural
areas where access to the grid is restricted. In this application, photovoltaic (PV) and pump …
areas where access to the grid is restricted. In this application, photovoltaic (PV) and pump …
IoT based Social Device Network with Cloud Computing Architecture
Internet of Things (IoT) is an emerging technology that is taking the current technology to the
next phase of connectivity by connecting any device to the internet. It may be a mobile …
next phase of connectivity by connecting any device to the internet. It may be a mobile …
[HTML][HTML] Predictive evaluation of solar energy variables for a large-scale solar power plant based on triple deep learning forecast models
The advanced development of large-scale solar power plants (LSSPs) has made it
necessary to improve accurate forecasting models for the output of solar energy. Solar …
necessary to improve accurate forecasting models for the output of solar energy. Solar …