An attention-driven long short-term memory network for high throughput virtual screening of organic photovoltaic candidate molecules

Richards, Ryan J.; Paul, Arindam

doi:10.1016/j.solener.2021.05.064

Cited by 7 publications

(1 citation statement)

References 59 publications

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“…Distributed generation(DG), it is a small modular power supply system arranged near users in a decentralized manner with a power generation power of tens of kW to tens of MW environment compatible independent power supply [8]. The combination of large power grid and distributed generation is recognized by many energy and power experts in the world as the main way to save investment, reduce energy consumption and improve the reliability and flexibility of power system.…”

Section: Introductionmentioning

confidence: 99%

Operation Control Method of Relay Protection in Flexible DC Distribution Network Compatible with Distributed Power Supply

2023

Energy Engineering

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A novel operation control method for relay protection in flexible DC distribution networks with distributed power supply is proposed to address the issue of inaccurate fault location during relay protection, leading to poor performance. The method combines a fault-tolerant fault location method based on long-term and short-term memory networks to accurately locate the fault section. Then, an operation control method for relay protection based on adaptive weight and whale optimization algorithm (WOA) is used to construct an objective function considering the shortest relay protection action time and the smallest impulse current. The adaptive weight and WOA are employed to obtain the optimal strategy for relay protection operation control, reducing the action time and impulse current. Experimental results demonstrate the effectiveness of the proposed method in accurately locating faults and improving relay protection performance. The longest operation time is reduced by 4.7023 s, and the maximum impulse current is limited to 0.3 A, effectively controlling the impact of large impulse currents and enhancing control efficiency.

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Section: Introductionmentioning

confidence: 99%

Operation Control Method of Relay Protection in Flexible DC Distribution Network Compatible with Distributed Power Supply

2023

Energy Engineering

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Machine Learning Approaches for Predicting Power Conversion Efficiency in Organic Solar Cells: A Comprehensive Review

Jiang,

Yao,

Yang

et al. 2024

Solar RRL

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Organic solar cells (OSCs), renowned for their lightweight, cost efficiency, and adaptability nature, stand out as a promising option for developing renewable energy. Improving the power conversion efficiency (PCE) of OSCs is essential, and researchers are delving into novel materials to achieve this. Traditional approaches are often laborious and costly, highlighting the need for predictive modeling. Machine learning (ML), especially via quantitative structure–property relationship (QSPR) models, is streamlining material development, with a goal to exceed a 20% PCE. In this review, the application of ML in OSCs is explored, and recent studies utilizing ML approaches for PCE prediction are reviewed, encompassing empirical functions, ML algorithms, self‐devised ML frameworks, and the combination with automated experimental technologies. First, the benefits of ML in predicting PCE for OSCs are addressed. Second, the development of high‐efficiency predictive models for both fullerene and nonfullerene acceptors is delved into. The impact of various ML algorithm models on PCE prediction is then assessed, taking into account the construction of predictive models. Moreover, the quality of databases and the selection of descriptors are considered. Databases and descriptors based on experimental studies are further categorized. Finally, prospects for the future development of OSCs are proposed.

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Enhancing predictive modeling of photovoltaic materials’ solar power conversion efficiency using explainable AI

Vubangsi,

Mubarak,

Al-Turjman

2024

Energy Reports

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An attention-driven long short-term memory network for high throughput virtual screening of organic photovoltaic candidate molecules

Cited by 7 publications

References 59 publications

Operation Control Method of Relay Protection in Flexible DC Distribution Network Compatible with Distributed Power Supply

Operation Control Method of Relay Protection in Flexible DC Distribution Network Compatible with Distributed Power Supply

Machine Learning Approaches for Predicting Power Conversion Efficiency in Organic Solar Cells: A Comprehensive Review

Enhancing predictive modeling of photovoltaic materials’ solar power conversion efficiency using explainable AI

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