A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions-Reference-Cited by-同舟云学术

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A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions

Published:2015-08 Issue:13 Volume:42 Page:5452-5462
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

García-Domingo B.,Carmona C.J.,Rivera-Rivas A.J.,del Jesus M.J.,Aguilera J.

Funder

Spanish Science and Innovation Department

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference85 articles.

1. Estimating the maximum power of a high concentrator photovoltaic (HCPV) module using an artificial neural network;Almonacid;Energy,2013

2. Relation between the cell temperature of a HCPV module and atmospheric parameters;Almonacid;Solar Energy Materials and Solar Cells,2012

3. Antón, I., Martínez, M., Rubio, F., Núñez, R., Herrero, R., Domínguez, C., et al. (2012). Power rating of CPV systems based on spectrally corrected DNI. In AIP conference proceedings (Vol. 1477, pp. 331–335).

4. Araki, K., Kemmoku, Y., & Yamaguchi, M. (2008). A simple rating method for CPV modules and systems. In Conference record of the IEEE photovoltaic specialists conference.

5. Atif, M., & Al-Sulaiman, F. A. (2014). Time instant optimization of a heliostat field using a heuristic algorithm. In Eighth international conference on energy sustainability (pp. 1–7).

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