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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| Format: | Article |
| Language: | English |
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Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2021-01-01
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| Series: | Journal of Engineering Studies and Research |
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| Online Access: | https://jesr.ub.ro/index.php/1/article/view/240 |
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| 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 |
| collection | DOAJ |
| 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 |
| id | doaj-art-9d38083a8da74f67b32d4ccfce5ea45b |
| institution | Kabale University |
| issn | 2068-7559 2344-4932 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Alma Mater Publishing House "Vasile Alecsandri" University of Bacau |
| record_format | Article |
| series | Journal of Engineering Studies and Research |
| spelling | doaj-art-9d38083a8da74f67b32d4ccfce5ea45b2025-02-09T11:37:25ZengAlma Mater Publishing House "Vasile Alecsandri" University of BacauJournal of Engineering Studies and Research2068-75592344-49322021-01-01264FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIAADE-IKUESAN OLANIKE OLUFISAYOATILOLA MORUFDEEN OLATUNBOSUNOYEDEJI AJIBOLA OLUWAFEMIADEYEMI HEZEKIAH OLUWOLE 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. https://jesr.ub.ro/index.php/1/article/view/240energy planning, load forecasting, fuzzy logic, population, GDP, MAPE |
| spellingShingle | ADE-IKUESAN OLANIKE OLUFISAYO ATILOLA MORUFDEEN OLATUNBOSUN OYEDEJI AJIBOLA OLUWAFEMI ADEYEMI HEZEKIAH OLUWOLE FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA Journal of Engineering Studies and Research energy planning, load forecasting, fuzzy logic, population, GDP, MAPE |
| title | 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_short | FUZZY LOGIC APPROACH TO ENERGY PLANNING IN NIGERIA |
| title_sort | fuzzy logic approach to energy planning in nigeria |
| topic | energy planning, load forecasting, fuzzy logic, population, GDP, MAPE |
| url | https://jesr.ub.ro/index.php/1/article/view/240 |
| work_keys_str_mv | AT adeikuesanolanikeolufisayo fuzzylogicapproachtoenergyplanninginnigeria AT atilolamorufdeenolatunbosun fuzzylogicapproachtoenergyplanninginnigeria AT oyedejiajibolaoluwafemi fuzzylogicapproachtoenergyplanninginnigeria AT adeyemihezekiaholuwole fuzzylogicapproachtoenergyplanninginnigeria |