مشروع البحث: Short Term Load Forecasting Using Fuzzy Logic
| dc.contributor.advisor | فضل, عبدالله ادريس | |
| dc.date.accessioned | 2025-03-12T08:51:17Z | |
| dc.date.available | 2025-03-12T08:51:17Z | |
| dc.description | load forecasting is one of the important concerns of power system ,and it is essential for managing supply and demand of electricity .the short term load forecast (STLF) is important to predict the near future loads, since there are various factors that influence the behavior of the consumer loads . The most important factors that may be considered are load, temperature, and humidity, changes with time .in this research the Method of fuzzy logic (FL) will applied for forecast the short-term load, for Libyan western electric power system. Historical hourly load data collected during the year 2013 by General Electricity Company of Libya (GECOL) were used for the testing of the fuzzy logic forecasting models .Also the weather hourly data for year 2013 is used. Then forecasting load results were estimated and compared to actual load using year 2015 load and weather data. | |
| dc.description.abstract | load forecasting is one of the important concerns of power system ,and it is essential for managing supply and demand of electricity .the short term load forecast (STLF) is important to predict the near future loads, since there are various factors that influence the behavior of the consumer loads . The most important factors that may be considered are load, temperature, and humidity, changes with time .in this research the Method of fuzzy logic (FL) will applied for forecast the short-term load, for Libyan western electric power system. Historical hourly load data collected during the year 2013 by General Electricity Company of Libya (GECOL) were used for the testing of the fuzzy logic forecasting models .Also the weather hourly data for year 2013 is used. Then forecasting load results were estimated and compared to actual load using year 2015 load and weather data. | |
| dc.identifier | 7008 | |
| dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/1471 | |
| dc.subject | Short Term Load Forecasting Using Fuzzy Logic | |
| dc.title | Short Term Load Forecasting Using Fuzzy Logic | |
| dspace.entity.type | Project | |
| project.endDate | 2019 | |
| project.funder.name | هندسة الحاسوب | |
| project.investigator | زهرة مفتاح العائب | |
| project.startDate | 2018 | |
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