A methodology based on dynamic artificial neural network for short-term forecasting of the power output of a PV generator-Reference-Cited by-同舟云学术

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A methodology based on dynamic artificial neural network for short-term forecasting of the power output of a PV generator

Published:2014-09 Issue: Volume:85 Page:389-398
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Almonacid F.,Pérez-Higueras P.J.,Fernández Eduardo F.,Hontoria L.

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference47 articles.

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3. Introduction to the theory of neural computation, Redwood city;Hertz,1991

4. Short-term prediction of foF2 using tune-delay neural network;Wintoft;Phys Chem Earth Part (C),1999

5. Hourly solar radiation forecasting using optimal coefficient 2-D linear filters and feed-forward neural networks;Fatih;Solar Energy,2008

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