Performance improvement of empirical models for estimation of global solar radiation in India: A k-fold cross-validation approach
Authors:
- Sheikh SaudSSSheikh Saud
- Basharat JamilBJBasharat Jamil
- Yogesh UpadhyayYUYogesh Upadhyay
- Kashif IrshadKIKashif Irshad
- 1 August 2020
- journal article
- research article
- Published by Elsevier in Sustainable Energy Technologies and Assessments
- Vol. 40
Abstract
No abstract availableKeywords
This publication has 44 references indexed in Scilit:
- Wind farm efficiency by adaptive neuro-fuzzy strategyInternational Journal of Electrical Power & Energy Systems, 2016
- Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiationRenewable and Sustainable Energy Reviews, 2016
- New horizontal global solar radiation estimation models for Turkey based on robust coplot supported genetic programming techniqueEnergy Conversion and Management, 2015
- Sensor Data Fusion by Support Vector Regression Methodology—A Comparative StudyIEEE Sensors Journal, 2014
- The problem of multicollinearity in horizontal solar radiation estimation models and a new model for TurkeyEnergy Conversion and Management, 2014
- Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmissionEnergy, 2014
- Adaptive neuro-fuzzy approach for wind turbine power coefficient estimationRenewable and Sustainable Energy Reviews, 2013
- World Map of the Köppen-Geiger climate classification updatedMeteorologische Zeitschrift, 2006
- Calculation of monthly average insolation on tilted surfacesSolar Energy, 1977
- Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiationQuarterly Journal of the Royal Meteorological Society, 1924