AIMC Topic: Solar Energy

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Research on multi-defects classification detection method for solar cells based on deep learning.

PloS one Jun 21, 2024
Solar cells are playing a significant role in aerospace equipment. In view of the surface defect characteristics in the manufacturing process of solar cells, the common surface defects are divided into three categories, which include difficult-detect...
Algorithms Deep Learning Solar Energy Image Processing, Computer-Assisted
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Examining nonlinear effects of socioecological drivers on urban solar energy development in China using machine learning and high-dimensional data.

Journal of environmental management May 10, 2024
In the context of carbon neutrality target, renewable energy sources have been transforming from "supplementary energy" to "main energy", which have promoted the green and low-carbon transition of global energy supply system. In-depth analyzing the s...
Cities Machine Learning China Solar Energy
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Solar desalination system for fresh water production performance estimation in net-zero energy consumption building: A comparative study on various machine learning models.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 20, 2024
This study employs diverse machine learning models, including classic artificial neural network (ANN), hybrid ANN models, and the imperialist competitive algorithm and emotional artificial neural network (EANN), to predict crucial parameters such as ...
Solar Energy Sunlight Fresh Water Neural Networks, Computer Water Purification Machine Learning
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Application of machine learning-based read-across structure-property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye-sensitized solar cells (DSSCs).

Molecular informatics Feb 19, 2024
The application of various in-silico-based approaches for the prediction of various properties of materials has been an effective alternative to experimental methods. Recently, the concepts of Quantitative structure-property relationship (QSPR) and r...
Machine Learning Coloring Agents Quantitative Structure-Activity Relationship Electric Power Supplies Solar Energy
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Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction.

Computer methods and programs in biomedicine Aug 5, 2023
BACKGROUND AND OBJECTIVE: Exposure to solar ultraviolet (UV) radiation can cause malignant keratinocyte cancer and eye disease. Developing a user-friendly, portable, real-time solar UV alert system especially or wearable electronic mobile devices can...
Solar Energy Artificial Intelligence Bayes Theorem Australia Neural Networks, Computer
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A stacking ensemble classifier-based machine learning model for classifying pollution sources on photovoltaic panels.

Scientific reports Jun 24, 2023
Solar energy is a very efficient alternative for generating clean electric energy. However, pollution on the surface of solar panels reduces solar radiation, increases surface transmittance, and raises the surface temperature. All these factors cause...
Computer Simulation Machine Learning Reproducibility of Results Environmental Pollution Solar Energy
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Precise Fourier series and fuzzification method analysis of standardized thermal energy of solar box cooker performance: economic and environmental studies.

Environmental science and pollution research international Jun 2, 2023
A solar cooker is essential for cooking nutrient-dense food as opposed to LPG, which is avoidable. In the current situation, the solar cooker's incorporation of a nanoparticle covering resulted in improved thermal performance and shorter cooking time...
Sunlight Fourier Analysis Fuzzy Logic Hot Temperature India Solar Energy
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Application of artificial intelligence in solar and wind energy resources: a strategy to deal with environmental pollution.

Environmental science and pollution research international Apr 25, 2023
Environmental pollution has become a significant concern of nations. International organizations, local authorities, and social activists try to achieve sustainable development goals (SDGs) to protect the environment. However, this cannot be achieved...
Artificial Intelligence Renewable Energy Environmental Pollution Wind Solar Energy
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Variational mode decomposition combined fuzzy-Twin support vector machine model with deep learning for solar photovoltaic power forecasting.

PloS one Sep 16, 2022
A novel Variational Mode Decomposition (VMD) combined Fuzzy-Twin Support Vector Machine Model with deep learning mechanism is devised in this research study to forecast the solar Photovoltaic (PV) output power in day ahead basis. The raw data from th...
Support Vector Machine Solar Energy Forecasting Algorithms Deep Learning
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Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals.

Scientific reports Jun 10, 2022
Solar energy-based technologies have developed rapidly in recent years, however, the inability to appropriately estimate solar energy resources is still a major drawback for these technologies. In this study, eight different artificial intelligence (...
Algorithms Neural Networks, Computer Time Factors Artificial Intelligence Sunlight Solar Energy
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