AIMC Topic: Solar Energy

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Predictive hybrid model of a grid-connected photovoltaic system with DC-DC converters under extreme altitude conditions at 3800 meters above sea level.

PloS one May 19, 2025
This study aims to develop a predictive hybrid model for a grid-connected PV system with DC-DC optimizers, designed to operate in extreme altitude conditions at 3800 m above sea level. This approach seeks to address the "curse of dimensionality" by r...
Algorithms Solar Energy Altitude Electric Power Supplies Models, Theoretical Bayes Theorem
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Long-term solar radiation forecasting in India using EMD, EEMD, and advanced machine learning algorithms.

Environmental monitoring and assessment Feb 18, 2025
Solar radiation plays a critical role in the carbon sequestration processes of terrestrial ecosystems, making it a key factor in environmental sustainability among various renewable energy sources. This study integrates two advanced signal processing...
Solar Energy Sunlight India Environmental Monitoring Radiation Monitoring Machine Learning Algorithms Forecasting
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DFT and machine learning integration to predict efficiency of modified metal-free dyes in DSSCs.

Journal of molecular graphics & modelling Feb 6, 2025
Power conversion efficiency (PCE) prediction in dye-sensitized solar cells (DSSCs) increasingly relies on computation and machine learning, lowering experimental demands and accelerating materials discovery. In this work we incorporated quantum-chemi...
Density Functional Theory Models, Molecular Coloring Agents Machine Learning Solar Energy
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Quotient Complex (QC)-Based Machine Learning for 2D Hybrid Perovskite Design.

Journal of chemical information and modeling Jan 9, 2025
With remarkable stability and exceptional optoelectronic properties, two-dimensional (2D) halide layered perovskites hold immense promise for revolutionizing photovoltaic technology. Effective data representations are key to the success of all learni...
Oxides Titanium Machine Learning Calcium Compounds Solar Energy
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Solar energy prediction through machine learning models: A comparative analysis of regressor algorithms.

PloS one Jan 2, 2025
Solar energy generated from photovoltaic panel is an important energy source that brings many benefits to people and the environment. This is a growing trend globally and plays an increasingly important role in the future of the energy industry. Howe...
Solar Energy Temperature Models, Theoretical Algorithms Forecasting Machine Learning
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Improving prediction of solar radiation using Cheetah Optimizer and Random Forest.

PloS one Dec 20, 2024
In the contemporary context of a burgeoning energy crisis, the accurate and dependable prediction of Solar Radiation (SR) has emerged as an indispensable component within thermal systems to facilitate renewable energy generation. Machine Learning (ML...
Sunlight Logistic Models Random Forest Algorithms Neural Networks, Computer Solar Energy Support Vector Machine Forecasting Machine Learning
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A novel strategy for the MPPT in a photovoltaic system via sliding modes control.

PloS one Dec 13, 2024
This paper proposes a robust maximum power point tracking algorithm based on a super twisting sliding modes controller. The underlying idea is solving the classical trajectory tracking control problem where the maximum power point defines the referen...
Algorithms Computer Simulation Neural Networks, Computer Bayes Theorem Temperature Solar Energy Models, Theoretical Electric Power Supplies
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A Bio-Inspired Magnetic Soft Robotic Fish for Efficient Solar-Energy Driven Water Purification.

Small methods Oct 24, 2024
Solar-driven water evaporation is a promising solution for global water scarcity but is still facing challenges due to its substantial energy requirements. Here, a magnetic soft robotic bionic fish is developed by combining magnetic nanoparticles (Fe...
Bionics Hydrophobic and Hydrophilic Interactions Robotics Solar Energy Magnetite Nanoparticles Acrylic Resins Fishes Molecular Dynamics Simulation Animals Chitosan Water Purification
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Explainable AI and optimized solar power generation forecasting model based on environmental conditions.

PloS one Oct 2, 2024
This paper proposes a model called X-LSTM-EO, which integrates explainable artificial intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably forecast solar power generation. The LSTM component forecasts power ge...
Solar Energy Environment Forecasting Models, Theoretical Artificial Intelligence Algorithms
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Fuzzy logic-based prediction and parametric optimizing using particle swarm optimization for performance improvement in pyramid solar still.

Water science and technology : a journal of the International Association on Water Pollution Research Aug 12, 2024
The primary objective of this study is to develop a robust model that employs a fuzzy logic interface (FL) and particle swarm optimization (PSO) to forecast the optimal parameters of a pyramid solar still (PSS). The model considers a range of environ...
Models, Theoretical Fuzzy Logic Solar Energy Metal Nanoparticles Silver
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