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

登录注册会员服务联系我们

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.

1. Short-term prediction of photovoltaic energy generation by intelligent approach;Chow;Energy Build,2012

2. Neural networks and nonlinear adaptive filtering: unifying concepts and new algorithms;Nerrand;Neural Comput,1993

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

Cited by 167 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Short-term prediction of photovoltaic power based on quadratic decomposition and residual correction;Electric Power Systems Research;2024-11

2. Short‐term power prediction of distributed PV based on multi‐scale feature fusion with TPE‐CBiGRU‐SCA;IET Generation, Transmission & Distribution;2024-09-14

3. Solar power forecasting using domain knowledge;Energy;2024-09

4. A new method for short-term photovoltaic power generation forecast based on ensemble model;AIP Advances;2024-09-01

5. Machine Learning Approaches for Short-Term Photovoltaic Power Forecasting;Energies;2024-08-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3