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<Article>
<Journal>
				<PublisherName>Shahrood University of Technology</PublisherName>
				<JournalTitle>Renewable Energy Research and Applications</JournalTitle>
				<Issn>2717-252X</Issn>
				<Volume></Volume>
				<Issue>Articles in Press</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>11</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The mapping between satellite and ground station data for the estimation of average solar radiation in hilly regions of India</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">3673</ELocationID>
			
<ELocationID EIdType="doi">10.22044/rera.2025.16368.1432</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>SHUBHAM</FirstName>
					<LastName>GUPTA</LastName>
<Affiliation>Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India</Affiliation>
<Identifier Source="ORCID">0000-0002-1703-0623</Identifier>

</Author>
<Author>
					<FirstName>Amit Kumar</FirstName>
					<LastName>Singh</LastName>
<Affiliation>Department of Instrumentation and Control Engineering
DR B R AMBEDKAR NATIONAL INSTITUTE OF TECHNOLOGY JALANDHAR, PUNJAB (INDIA)</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>06</Month>
					<Day>07</Day>
				</PubDate>
			</History>
		<Abstract>This study is performed to increase the bankability and assess the future performance of solar-energy-based applications in hilly areas of India. A solar energy database for these places is necessary to achieve this. There are many obstacles to building measurement stations at these places. Significant problems include expensive measuring instruments, transportation, periodic calibration, and maintenance of the instruments. Utilizing satellite sources can overcome these challenges. This study uses the NASA and ISRO solar radiation databases as satellite sources. The ground station data was obtained from the Center of Energy and Environment (CEE), NIT, Hamirpur. Both overall and seasonal data analysis are performed. The concise mathematical relationship between ground station measured value and satellite radiation has a higher prediction accuracy than the other studies performed for the same study area (site). The lowest mean absolute percentage error (MAPE) obtained in this study was 7.3688%. The present study reveals that satellite solar radiation is a good alternative to developing a long-duration global solar radiation database in the hilly region of India.</Abstract>
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			<Param Name="value">surface solar radiation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">ground station GSR</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">seasonal analysis</Param>
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			<Object Type="keyword">
			<Param Name="value">NASA</Param>
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			<Object Type="keyword">
			<Param Name="value">ISRO</Param>
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</Article>
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