Performance Prediction of Hybrid Energy Harvesting Devices Using Machine Learning.

Park, Yoonbeom; Cho, Kyoungah; Kim, Sangsig

Park, Yoonbeom; Cho, Kyoungah; Kim, Sangsig.

Afiliación

Park Y; Department of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea.
Cho K; Department of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea.
Kim S; Department of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea.

ACS Appl Mater Interfaces ; 14(9): 11248-11254, 2022 Mar 09.

Article en En | MEDLINE | ID: mdl-35213134

Palabras clave

hybrid energy device; interface; machine learning; photovoltaic cell; thermoelectric generator

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2022 Tipo del documento: Article

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