25-08-2017, 09:32 PM
Short Term Load Forecasting with Fuzzy Logic Systems
Fuzzy logic in Load forecasting .doc (Size: 600.5 KB / Downloads: 63)
Introduction:
Several papers have proposed the use of Fuzzy Logic for short term load forecasting. At present application of fuzzy method for load forecasting is in the experimental stage. For the demonstration of the method a fuzzy expert systems that forecasts the daily peak load, is selected.
Fuzzy Expert Systems:
The fuzzy system is a popular computing framework based on the concepts of ‘fuzzy set theory’, ‘fuzzy if then rules’ and ‘fuzzy reasoning’. The structure of fuzzy inference consists of three conceptual components, namely:
Rule Base containing a selection of fuzzy rules.
Database defining the membership functions. These are used in the fuzzy rules.
Reasoning mechanism that performs the inference procedure upon the rules and given
facts and derives a reasonable output or conclusion.
Sometimes it is necessary to have crisp output. This requires a method called De-fuzzification, to extract a crisp value that best represents the fuzzy output. With such crisp inputs and outputs, a fuzzy expert system implements a non-linear mapping from the input space to the output space. This mapping is accomplished by a number of if-then rules, each of which describes a local behavior of the mapping.