ABSTRACT
Load forecasting is an important component for power system energy
management system. Precise load forecasting helps the electric utility to make unit
commitment decisions, reduces spinning reserve capacity and schedule device
maintenance plan properly. It also reduces the generation cost and increases
reliability of power systems. In this work, a fuzzy logic approach for short term load
forecasting is attempted. Time, temperature and similar previous day load are used as
the independent variables for short term load forecasting. Based on the time,
temperature and similar previous day load, fuzzy rule base are prepared using
Mamdani implication, which are eventually used for the short term load forecasting.
MATLAB SIMULINK software is used here in this work for system designing and
simulation. For the short term load forecasting, load data from the specific area load control center is considered.
Shamseldin, Z (2021). Short Term Electrical Load Forecasting Using Fuzzy Logic. Afribary. Retrieved from https://tracking.afribary.com/works/short-term-electrical-load-forecasting-using-fuzzy-logic
Shamseldin, Zaria "Short Term Electrical Load Forecasting Using Fuzzy Logic" Afribary. Afribary, 19 May. 2021, https://tracking.afribary.com/works/short-term-electrical-load-forecasting-using-fuzzy-logic. Accessed 18 Dec. 2024.
Shamseldin, Zaria . "Short Term Electrical Load Forecasting Using Fuzzy Logic". Afribary, Afribary, 19 May. 2021. Web. 18 Dec. 2024. < https://tracking.afribary.com/works/short-term-electrical-load-forecasting-using-fuzzy-logic >.
Shamseldin, Zaria . "Short Term Electrical Load Forecasting Using Fuzzy Logic" Afribary (2021). Accessed December 18, 2024. https://tracking.afribary.com/works/short-term-electrical-load-forecasting-using-fuzzy-logic