AIMC Topic: Solar Energy

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A machine learning approach to estimation of downward solar radiation from satellite-derived data products: An application over a semi-arid ecosystem in the U.S.

PloS one Aug 4, 2017
Shortwave solar radiation is an important component of the surface energy balance and provides the principal source of energy for terrestrial ecosystems. This paper presents a machine learning approach in the form of a random forest (RF) model for es...
Humans Machine Learning Algorithms Ecosystem United States Environmental Monitoring Remote Sensing Technology Solar Energy Satellite Communications Satellite Imagery
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Tracing Technological Development Trajectories: A Genetic Knowledge Persistence-Based Main Path Approach.

PloS one Jan 30, 2017
The aim of this paper is to propose a new method to identify main paths in a technological domain using patent citations. Previous approaches for using main path analysis have greatly improved our understanding of actual technological trajectories bu...
Technology Knowledge Bases Solar Energy Patents as Topic
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Data Mining and Machine Learning Tools for Combinatorial Material Science of All-Oxide Photovoltaic Cells.

Molecular informatics Mar 20, 2015
Growth in energy demands, coupled with the need for clean energy, are likely to make solar cells an important part of future energy resources. In particular, cells entirely made of metal oxides (MOs) have the potential to provide clean and affordable...
Machine Learning Metals Models, Theoretical Oxides Data Mining Solar Energy
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Generating a vast chemical space for high polar surface area triphenylamine polymers by machine learning-DFT calculations assisted reverse engineering for photovoltaics.

Journal of molecular graphics & modelling Sep 1, 2025
The total polar surface area (TPSA) is a crucial parameter in photovoltaic (PV) materials, as it directly influences their solubility, processability, and device performance. This study leverages machine learning-assisted reverse engineering to gener...
Machine Learning Algorithms Density Functional Theory Models, Molecular Polymers Aniline Compounds Solar Energy
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