The role of exploratory data analysis (EDA) in electricity forecasting
Exploratory Data Analysis (EDA) is an approach introduced by Tukey.The aim is to obtain an in depth understanding of data using graphics.This contradicts the classical approach which uses statistical summaries such as mean and standard deviation among others.Skipping EDA in investigating data can je...
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Format: | Article |
Language: | English |
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Universiti Putra Malaysia Press
2016
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Online Access: | https://repo.uum.edu.my/id/eprint/21531/1/PJSSH%2024%20S%202016%2093%20100.pdf |
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author | Ismail, Suzilah Zulkifli, Malina Mansor, Rosnalini Mat Yusof, Muhammad Ismail, M. I |
author_facet | Ismail, Suzilah Zulkifli, Malina Mansor, Rosnalini Mat Yusof, Muhammad Ismail, M. I |
author_sort | Ismail, Suzilah |
collection | UUM |
description | Exploratory Data Analysis (EDA) is an approach introduced by Tukey.The aim is to obtain an in depth understanding of data using graphics.This contradicts the classical approach which uses statistical summaries such as mean and standard deviation among others.Skipping EDA in investigating data can jeopardise the validity and reliability of the results.In this study, we highlight the crucial role of EDA in electricity forecasting via line chart to understand the existence of the four-time series components i.e. trend, seasonal,irregular and cyclical.Daily electricity load for financial year 2002 to 2006 are used.The EDA showed irregular patterns identified in the line chart are not irregular components but moving seasonal components which require different techniques of forecasting. |
first_indexed | 2024-07-04T06:17:49Z |
format | Article |
id | uum-21531 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T06:17:49Z |
publishDate | 2016 |
publisher | Universiti Putra Malaysia Press |
record_format | eprints |
spelling | uum-215312017-04-06T04:29:15Z https://repo.uum.edu.my/id/eprint/21531/ The role of exploratory data analysis (EDA) in electricity forecasting Ismail, Suzilah Zulkifli, Malina Mansor, Rosnalini Mat Yusof, Muhammad Ismail, M. I QA Mathematics Exploratory Data Analysis (EDA) is an approach introduced by Tukey.The aim is to obtain an in depth understanding of data using graphics.This contradicts the classical approach which uses statistical summaries such as mean and standard deviation among others.Skipping EDA in investigating data can jeopardise the validity and reliability of the results.In this study, we highlight the crucial role of EDA in electricity forecasting via line chart to understand the existence of the four-time series components i.e. trend, seasonal,irregular and cyclical.Daily electricity load for financial year 2002 to 2006 are used.The EDA showed irregular patterns identified in the line chart are not irregular components but moving seasonal components which require different techniques of forecasting. Universiti Putra Malaysia Press 2016 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/21531/1/PJSSH%2024%20S%202016%2093%20100.pdf Ismail, Suzilah and Zulkifli, Malina and Mansor, Rosnalini and Mat Yusof, Muhammad and Ismail, M. I (2016) The role of exploratory data analysis (EDA) in electricity forecasting. Pertanika Journal of Social Sciences & Humanities, 24S. pp. 93-100. ISSN 0128-7702 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JSSH%20Vol.%2024%20(S)%20Oct.%202016/08%20JSSH%20Vol%2024(S)%20Oct%202016_0266-2016_pg93-100.pdf |
spellingShingle | QA Mathematics Ismail, Suzilah Zulkifli, Malina Mansor, Rosnalini Mat Yusof, Muhammad Ismail, M. I The role of exploratory data analysis (EDA) in electricity forecasting |
title | The role of exploratory data analysis (EDA) in electricity forecasting |
title_full | The role of exploratory data analysis (EDA) in electricity forecasting |
title_fullStr | The role of exploratory data analysis (EDA) in electricity forecasting |
title_full_unstemmed | The role of exploratory data analysis (EDA) in electricity forecasting |
title_short | The role of exploratory data analysis (EDA) in electricity forecasting |
title_sort | role of exploratory data analysis eda in electricity forecasting |
topic | QA Mathematics |
url | https://repo.uum.edu.my/id/eprint/21531/1/PJSSH%2024%20S%202016%2093%20100.pdf |
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