FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA
Energy planning is an important tool for power system utility company and consumer’s profitability and satisfaction respectively. This paper is a study of energy planning (forecasting) in Ogun state of Nigeria using Fuzzy Logic model. Population and gross domestic product (GDP) are used as the inde...
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Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2021
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oai:doaj.org-article:2c0e4583d7624fd085f1308bf8e5fa112021-12-02T18:36:09ZFUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA10.29081/jesr.v26i4.2402068-75592344-4932https://doaj.org/article/2c0e4583d7624fd085f1308bf8e5fa112021-01-01T00:00:00Zhttp://www.jesr.ub.ro/1/article/view/240https://doaj.org/toc/2068-7559https://doaj.org/toc/2344-4932 Energy planning is an important tool for power system utility company and consumer’s profitability and satisfaction respectively. This paper is a study of energy planning (forecasting) in Ogun state of Nigeria using Fuzzy Logic model. Population and gross domestic product (GDP) are used as the independent variables to forecast load demand based on the previous load demand. After arranging the variables into 5 membership functions and the 19 rules were created, the fuzzy logic model forecast the annual load demand for the next 10 years with a percentage error margin 0.95 % to 21.79 % which results to a mean absolute percentage error (MAPE) of 8.34 %. The result of the forecast shows that within the next 10 years, 2019 to 2028, an average power load of 1985.66 MWH will be required. ADE-IKUESAN OLANIKE OLUFISAYOATILOLA MORUFDEEN OLATUNBOSUNOYEDEJI AJIBOLA OLUWAFEMIADEYEMI HEZEKIAH OLUWOLEAlma Mater Publishing House "Vasile Alecsandri" University of Bacauarticleenergy planning, load forecasting, fuzzy logic, population, GDP, MAPETechnologyTEngineering (General). Civil engineering (General)TA1-2040ENJournal of Engineering Studies and Research, Vol 26, Iss 4 (2021) |
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DOAJ |
language |
EN |
topic |
energy planning, load forecasting, fuzzy logic, population, GDP, MAPE Technology T Engineering (General). Civil engineering (General) TA1-2040 |
spellingShingle |
energy planning, load forecasting, fuzzy logic, population, GDP, MAPE Technology T Engineering (General). Civil engineering (General) TA1-2040 ADE-IKUESAN OLANIKE OLUFISAYO ATILOLA MORUFDEEN OLATUNBOSUN OYEDEJI AJIBOLA OLUWAFEMI ADEYEMI HEZEKIAH OLUWOLE FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA |
description |
Energy planning is an important tool for power system utility company and consumer’s profitability and satisfaction respectively. This paper is a study of energy planning (forecasting) in Ogun state of Nigeria using Fuzzy Logic model. Population and gross domestic product (GDP) are used as the independent variables to forecast load demand based on the previous load demand. After arranging the variables into 5 membership functions and the 19 rules were created, the fuzzy logic model forecast the annual load demand for the next 10 years with a percentage error margin 0.95 % to 21.79 % which results to a mean absolute percentage error (MAPE) of 8.34 %. The result of the forecast shows that within the next 10 years, 2019 to 2028, an average power load of 1985.66 MWH will be required.
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format |
article |
author |
ADE-IKUESAN OLANIKE OLUFISAYO ATILOLA MORUFDEEN OLATUNBOSUN OYEDEJI AJIBOLA OLUWAFEMI ADEYEMI HEZEKIAH OLUWOLE |
author_facet |
ADE-IKUESAN OLANIKE OLUFISAYO ATILOLA MORUFDEEN OLATUNBOSUN OYEDEJI AJIBOLA OLUWAFEMI ADEYEMI HEZEKIAH OLUWOLE |
author_sort |
ADE-IKUESAN OLANIKE OLUFISAYO |
title |
FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA |
title_short |
FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA |
title_full |
FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA |
title_fullStr |
FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA |
title_full_unstemmed |
FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA |
title_sort |
fuzzy logic approach to energy planning in nigeria |
publisher |
Alma Mater Publishing House "Vasile Alecsandri" University of Bacau |
publishDate |
2021 |
url |
https://doaj.org/article/2c0e4583d7624fd085f1308bf8e5fa11 |
work_keys_str_mv |
AT adeikuesanolanikeolufisayo fuzzylogicapproachtoenergyplanninginnigeria AT atilolamorufdeenolatunbosun fuzzylogicapproachtoenergyplanninginnigeria AT oyedejiajibolaoluwafemi fuzzylogicapproachtoenergyplanninginnigeria AT adeyemihezekiaholuwole fuzzylogicapproachtoenergyplanninginnigeria |
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