An Improved Forecasting Method for Photovoltaic Power Based on Adaptive BP Neural Network with a Scrolling Time Window

An Improved Forecasting Method for Photovoltaic Power Based on Adaptive BP Neural Network with a Scrolling Time Window

Due to the large scale of grid-connected photovoltaic (PV) power generation installations, accurate PV power forecasting is critical to the safe and economic operation of the electric power system. In the paper, by analyzing the influence of external ambient factors and the changing characteristics...

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Bibliographic Details
Main Authors: Honglu Zhu, Weiwei Lian, Lingxing Lu, Songyuan Dai, Yang Hu
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Energies
Subjects:
photovoltaic (PV) power generation
power forecasting
artificial neural network
dynamic model
Online Access:https://www.mdpi.com/1996-1073/10/10/1542

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