Deep learning models for solar irradiance forecasting: A comprehensive review

P Kumari, D Toshniwal - Journal of Cleaner Production, 2021 - Elsevier
The growing human population in this modern society hugely depends on the energy to
fulfill their day-to-day needs and activities. Renewable energy sources, especially solar …

A review on global solar radiation prediction with machine learning models in a comprehensive perspective

Y Zhou, Y Liu, D Wang, X Liu, Y Wang - Energy Conversion and …, 2021 - Elsevier
Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …

Gridded daily weather data for North America with comprehensive uncertainty quantification

PE Thornton, R Shrestha, M Thornton, SC Kao, Y Wei… - Scientific Data, 2021 - nature.com
Access to daily high-resolution gridded surface weather data based on direct observations
and over long time periods is essential for many studies and applications including …

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid …

J Fan, X Wang, L Wu, H Zhou, F Zhang, X Yu… - Energy conversion and …, 2018 - Elsevier
The knowledge of global solar radiation (H) is a prerequisite for the use of renewable solar
energy, but H measurements are always not available due to high costs and technical …

Empirical models for estimating global solar radiation: A review and case study

F Besharat, AA Dehghan, AR Faghih - Renewable and sustainable energy …, 2013 - Elsevier
Solar radiation is a primary driver for many physical, chemical, and biological processes on
the earth's surface. Solar energy engineers, architects, agriculturists, hydrologists, etc. often …

A support vector machine–firefly algorithm-based model for global solar radiation prediction

L Olatomiwa, S Mekhilef, S Shamshirband… - Solar Energy, 2015 - Elsevier
In this paper, the accuracy of a hybrid machine learning technique for solar radiation
prediction based on some meteorological data is examined. For this aim, a novel method …

Assessment of SVM, empirical and ANN based solar radiation prediction models with most influencing input parameters

R Meenal, AI Selvakumar - Renewable Energy, 2018 - Elsevier
This paper evaluates the accuracy of Support Vector Machine (SVM), Artificial Neural
Network (ANN) and empirical solar radiation models with different combination of input …

[图书][B] Evaporation, evapotranspiration, and irrigation water requirements: Task Committee on Revision of Manual 70.

ME Jensen, RG Allen - 2016 - cabidigitallibrary.org
Abstract This Manual of Practice (MOP) is a comprehensive reference to estimating the
water quantities needed for irrigation of crops based upon the physics of evaporation and …

Solar radiation prediction using different techniques: model evaluation and comparison

L Wang, O Kisi, M Zounemat-Kermani… - … and Sustainable Energy …, 2016 - Elsevier
Daily observations of meteorological parameters, air temperature, air pressure, relative
humidity, water vapor pressure and sunshine duration hours observed at 12 stations in …

Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia

S Ghimire, RC Deo, NJ Downs, N Raj - Journal of cleaner production, 2019 - Elsevier
To support alternative forms of energy resources, the prediction of global incident solar
radiation (I rad) is critical to establish the efficacy of solar energy resources as a free and …