UGC Approved Journal no 63975(19)

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Published in:

Volume 7 Issue 10
October-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREH06013


Registration ID:
302164

Page Number

72-78

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Title

ANALYTICAL STUDY OF CORRELATION BETWEEN DEMAND AND RENEWABLE ENERGY FORECASTING USING DATA MINING/ANALYTICS

Abstract

The demand for electricity is increasing day by day owing to the growing population and urbanization. Therefore, in order to meet the demand of the consumers and also to ensure no mismatch of supply/demand, development of efficient data forecasting methods is necessary. Load data, solar data, wind data of Germany was used for the purpose of time series forecasting. The load forecasting was done for renewable energy sources- solar, wind and for the conventional load. Linear Regression and LSTM based RNN are the two methods of forecasting used in the paper. The criteria for selecting the best load forecasting method amongst the two was based on the error obtained. Correlation is a statistical technique that can show whether and how strongly paired variables are related. In this paper in order to find the correlation between the load data and solar data, solar data and wind data and load data and wind data Pearson’s and Spearman’s correlation coefficient algorithms were used. The Pearson’s and Spearman’s rank correlation coefficient clearly shows how much energy generated from solar and wind helps in meeting the day to day load requirement. The platform used by us for coding python is SPYDER. For the cross verification of the theoretical and practical values obtained, mathematical calculations were done.

Key Words

Load forecasting, Correlation, Solar and Wind generation forecasting

Cite This Article

"ANALYTICAL STUDY OF CORRELATION BETWEEN DEMAND AND RENEWABLE ENERGY FORECASTING USING DATA MINING/ANALYTICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.72-78, October-2020, Available :http://www.jetir.org/papers/JETIREH06013.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ANALYTICAL STUDY OF CORRELATION BETWEEN DEMAND AND RENEWABLE ENERGY FORECASTING USING DATA MINING/ANALYTICS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp72-78, October-2020, Available at : http://www.jetir.org/papers/JETIREH06013.pdf

Publication Details

Published Paper ID: JETIREH06013
Registration ID: 302164
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 72-78
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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