Estimation of the Global Solar Radiation on the Horizontal Surface from Temperature Data for the Vhembe District in the Limpopo Province of South Africa

Maluta, Eric; Mulaudzi, Tshimangadzo Sophie; Sankaran, Vaith

doi:10.1080/15435075.2013.772518

Cited by 5 publications

(1 citation statement)

References 18 publications

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“…Various hybrid models have been analysed and developed [3]. Similar result for the estimation of GSR in the Limpopo Province has been found [4]. However, the enhanced performance of non-linear regression models for South African provinces has been confirmed through multi-variate model [5].…”

Section: Methodsmentioning

confidence: 62%

Analysis of outlet temperature of parabolic trough collector solar water heater using machine learning techniques

Mohana

Karunamurthy

Isravel

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The green sources of energy are ocean, hydro, solar, tidal, wave, wind, biomass, etc. Among all these wind, solar and hydro are mainly used. Particularly, solar energy has various applications such as atmospheric energy balance studies, solar energy collecting systems, analysis of the thermal load on buildings, etc. Parabolic trough collector (PTC) based solar water heater (SWH) gains a significant role in water heating systems. Parabolic trough collector is a concentrating type collector which collects the solar radiation in copper tube placed in the focal point of the parabolic trough. It also generates a high temperature which is suitable for steam generation. The main goal of this paper is to predict the outlet temperature of parabolic trough collector solar water heater with time and temperature for different days using various machine learning techniques.

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Section: Methodsmentioning

confidence: 62%