On the role of lagged exogenous variables and spatio–temporal correlations in improving the accuracy of solar forecasting methods
- 1 June 2015
- journal article
- research article
- Published by Elsevier BV in Renewable Energy
- Vol. 78, 203-218
- https://doi.org/10.1016/j.renene.2014.12.071
Abstract
No abstract availableKeywords
Funding Information
- DOE SUNRISE (DE-EE0006330)
- California Public Utilities Commission
- National Science Foundation (N. 1201986)
This publication has 23 references indexed in Scilit:
- Accuracy analysis for fifty-four clear-sky solar radiation models using routine hourly global irradiance measurements in RomaniaRenewable Energy, 2013
- Validation of the NSRDB–SUNY global horizontal irradiance in CaliforniaSolar Energy, 2010
- Analysis of satellite derived beam and global solar radiation dataSolar Energy, 2007
- Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedureRenewable Energy, 2007
- Comparison of eight clear sky broadband models against 16 independent data banksSolar Energy, 2006
- Producing satellite-derived irradiances in complex arid terrainSolar Energy, 2004
- A new operational model for satellite-derived irradiances: description and validationSolar Energy, 2002
- A new airmass independent formulation for the Linke turbidity coefficientSolar Energy, 2002
- Spatio-temporal variability of solar energy across a region: a statistical modelling approachSolar Energy, 2001
- Surface Measurements of Solar Irradiance: A Study of the Spatial Correlation between Simultaneous Measurements at Separated SitesJournal of Applied Meteorology and Climatology, 1995