Fuzzy Systems

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Error Minimization in Load Forecasting using Fuzzy Programming and OFDM Transmission


Affiliations
1 Department of Electronics and Communication Engineering, Haryana Engineering College, Jagadhri, Haryana, India
2 D.A.V. Institute of Engineering and Technology, Jalandhar, Punjab, India
3 Deaprtment of Electronics and Communication Engineering, JMIT, Radaur, Yamuna Nagar, Haryana, India
     

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Today, it is very important for developed and developing countries to consume electricity more efficiently. Though developed countries do not want to waste electricity and developing countries cannot waste electricity. This leads to the concept – Load Forecasting. This paper is written for the short term load forecasting on daily basis, hourly or half – hourly basis or real time load forecasting. But as we move from daily to hourly basis of load forecasting the error of load forecasting increases. The analysis of this paper is done on previous year’s load data records of an Engineering College in India using the concept of fuzzy methods. The analysis has been done on Mamdani type membership functions and OFDM (Orthogonal Frequency Division Multiplexing) transmission scheme. To reduce the error of load forecasting Fuzzy method has been used with Artificial Network (ANN) and OFDM transmission is used to get data from outer world and send outputs to outer world accurately and quickly. The error has been reduced to a considerable level in the range of 2-3%. For further reducing the error
Orthogonal Frequency Division Multiplexing (OFDM) can be used with Reed-Solomon (RS) encoding. Further studies are going on with Fuzzy Regression methods to reduce the error more.


Keywords

ART Neural Network, Fuzzy Logic, Load Forecasting OFDM.
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  • Error Minimization in Load Forecasting using Fuzzy Programming and OFDM Transmission

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Authors

Sandeep Sachdeva
Department of Electronics and Communication Engineering, Haryana Engineering College, Jagadhri, Haryana, India
Maninder Singh
Department of Electronics and Communication Engineering, Haryana Engineering College, Jagadhri, Haryana, India
Ajat Shatru Arora
D.A.V. Institute of Engineering and Technology, Jalandhar, Punjab, India
U. P. Singh
Deaprtment of Electronics and Communication Engineering, JMIT, Radaur, Yamuna Nagar, Haryana, India

Abstract


Today, it is very important for developed and developing countries to consume electricity more efficiently. Though developed countries do not want to waste electricity and developing countries cannot waste electricity. This leads to the concept – Load Forecasting. This paper is written for the short term load forecasting on daily basis, hourly or half – hourly basis or real time load forecasting. But as we move from daily to hourly basis of load forecasting the error of load forecasting increases. The analysis of this paper is done on previous year’s load data records of an Engineering College in India using the concept of fuzzy methods. The analysis has been done on Mamdani type membership functions and OFDM (Orthogonal Frequency Division Multiplexing) transmission scheme. To reduce the error of load forecasting Fuzzy method has been used with Artificial Network (ANN) and OFDM transmission is used to get data from outer world and send outputs to outer world accurately and quickly. The error has been reduced to a considerable level in the range of 2-3%. For further reducing the error
Orthogonal Frequency Division Multiplexing (OFDM) can be used with Reed-Solomon (RS) encoding. Further studies are going on with Fuzzy Regression methods to reduce the error more.


Keywords


ART Neural Network, Fuzzy Logic, Load Forecasting OFDM.