SHORT TERM WIND SPEED PREDICTION USING ARTIFICIAL NEURAL NETWORKS BASED ONLEVENBERG-MARQUARDT OPTIMIZATION METHOD

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Dehghan Babak; Amirzehni Rana; Barutcu Burak

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Seminar Paper

Paper Information

Seminar: CONFERENCE OF SPECIALIZED RENEWABLE ENERGY, CLEAN AND EFFICIENT
Year:2014 | Issue:5

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Title

SHORT TERM WIND SPEED PREDICTION USING ARTIFICIAL NEURAL NETWORKS BASED ONLEVENBERG-MARQUARDT OPTIMIZATION METHOD

Author(s)

Dehghan Babak | Amirzehni Rana | Barutcu Burak

Keywords

ARTIFICIAL NEURAL NETWORKS

WIND SPEED FORECASTING

TIME SERIES

LEVENBERG–MARQUARDT ALGORITHM

Abstract

WIND SPEED PREDICTION IS CRITICAL FOR WIND ENERGY CONVERSION SYSTEMS SINCE IT GREATLY INFLUENCES THE ISSUES SUCH AS THE SCHEDULING OF A POWER SYSTEM, AND THE DYNAMIC CONTROL OF THE WIND TURBINE.IN THIS PAPER THE SHORT TERM WIND SPEED FORECASTING IN THE REGION OF ISTANBUL, TURKEY, APPLYINGTHE TECHNIQUE OF ARTIFICIAL NEURAL NETWORK (ANN) BASED ON LEVENBERG-MARQUARDT OPTIMIZATION METHODTO THE 10 MINUTE INTERVAL TIME SERIES REPRESENTATIVE OF THE SITE ISPRESENTED AND ALSO WE PRESENT A COMPREHENSIVE COMPARISON STUDY ON THE APPLICATION OF DIFFERENT ARTIFICIAL NEURAL NETWORKS ARCHITECTURESIN WIND SPEED FORECASTING AND COMPARE TRIANGULAR REDUCTION METHOD DATA WITH HECHT-NIELSEN APPROXIMATION METHOD DATA.THE DEVELOPED MODEL FOR SHORT TERM WIND SPEED FORECASTING SHOWED A VERY GOOD ACCURACY AND AGREEMENT BETWEEN PREDICTED AND REAL DATA.THE RESULTS ARE VALIDATED AND THE EFFECTIVENESS OF THE TRIANGULAR REDUCTION METHOD ANDHECHT-NIELSEN APPROXIMATION METHOD IS DEMONSTRATED.

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APA: Copy

Dehghan, Babak, Amirzehni, Rana, & Barutcu, Burak. (2014). SHORT TERM WIND SPEED PREDICTION USING ARTIFICIAL NEURAL NETWORKS BASED ONLEVENBERG-MARQUARDT OPTIMIZATION METHOD. CONFERENCE OF SPECIALIZED RENEWABLE ENERGY, CLEAN AND EFFICIENT. SID. https://sid.ir/paper/928968/en

Vancouver: Copy

Dehghan Babak, Amirzehni Rana, Barutcu Burak. SHORT TERM WIND SPEED PREDICTION USING ARTIFICIAL NEURAL NETWORKS BASED ONLEVENBERG-MARQUARDT OPTIMIZATION METHOD. 2014. Available from: https://sid.ir/paper/928968/en

IEEE: Copy

Babak Dehghan, Rana Amirzehni, and Burak Barutcu, “SHORT TERM WIND SPEED PREDICTION USING ARTIFICIAL NEURAL NETWORKS BASED ONLEVENBERG-MARQUARDT OPTIMIZATION METHOD,” presented at the CONFERENCE OF SPECIALIZED RENEWABLE ENERGY, CLEAN AND EFFICIENT. 2014, [Online]. Available: https://sid.ir/paper/928968/en

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