Multi-Step Solar Irradiance Forecasting and Domain Adaptation of Deep Neural Networks

Multi-Step Solar Irradiance Forecasting and Domain Adaptation of Deep Neural Networks

The problem of forecasting hourly solar irradiance over a multi-step horizon is dealt with by using three kinds of predictor structures. Two approaches are introduced: Multi-Model (<i>MM</i>) and Multi-Output (<i>MO</i>). Model parameters are identified for two kinds of neura...

Full description

Bibliographic Details
Main Authors: Giorgio Guariso, Giuseppe Nunnari, Matteo Sangiorgio
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Energies
Subjects:
feed-forward neural networks
recurrent neural networks
LSTM cell
performances evaluation
clear sky irradiance
persistent predictor
Online Access:https://www.mdpi.com/1996-1073/13/15/3987

Internet

https://www.mdpi.com/1996-1073/13/15/3987

Similar Items