One‐day‐ahead hourly forecasting for photovoltaic power generation using an intelligent method with weather‐based forecasting models-Reference-Cited by-同舟云学术

One‐day‐ahead hourly forecasting for photovoltaic power generation using an intelligent method with weather‐based forecasting models

Published:2015-11 Issue:14 Volume:9 Page:1874-1882
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Huang Chao‐Ming¹,Chen Shin‐Ju¹,Yang Sung‐Pei¹,Kuo Chung‐Jen²

Affiliation:

1. Department of Electrical EngineeringKun Shan UniversityTainan71070Taiwan

2. Department of Computer and Communication EngineeringKun Shan UniversityTainan71070Taiwan

Funder

National Science Council

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2015.0175

Reference22 articles.

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4. Yona A. Senjyu T.A. Saber Y. Funabashi T. Sekine H. Kim C.H.: ‘Application of neural network to 24‐hour‐ahead generating power forecasting for PV system’.Int. Conf. on Conversion and Delivery of Energy in the 21st Century 2008 pp.1–6

5. Optimal Operation by Controllable Loads Based on Smart Grid Topology Considering Insolation Forecasted Error

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