Short-Term Photovoltaic Power Forecasting Using an LSTM Neural Network and Synthetic Weather Forecast

Short-Term Photovoltaic Power Forecasting Using an LSTM Neural Network and Synthetic Weather Forecast

In this paper, a forecasting algorithm is proposed to predict photovoltaic (PV) power generation using a long short term memory (LSTM) neural network (NN). A synthetic weather forecast is created for the targeted PV plant location by integrating the statistical knowledge of historical solar irradian...

Full description

Bibliographic Details
Main Authors: Mohammad Safayet Hossain, Hisham Mahmood
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
PV power forecasting
machine learning
LSTM
neural network
deep learning
synthetic weather forecast
Online Access:https://ieeexplore.ieee.org/document/9200614/

Internet

https://ieeexplore.ieee.org/document/9200614/

Similar Items