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In this book, the following objectives has been taken for wind energy survey and it's forecasting methods: (a) Wind energy survey of Raipur region of Chhattisgarh (b) Preparation of wind rose diagram and frequency distribution curve for Raipur region to find the direction of wind and frequency of wind speed. (c) Prediction of wind speed in Raipur region of Chhattisgarh, India using Artificial Neural Network (ANN) and Multiple Liner Regression (MLR). (d) Comparative analysis of Artificial Neural Network (ANN) and Multiple Liner Regression (MLR) results. (f) Relative analysis to find out…mehr

Produktbeschreibung
In this book, the following objectives has been taken for wind energy survey and it's forecasting methods: (a) Wind energy survey of Raipur region of Chhattisgarh (b) Preparation of wind rose diagram and frequency distribution curve for Raipur region to find the direction of wind and frequency of wind speed. (c) Prediction of wind speed in Raipur region of Chhattisgarh, India using Artificial Neural Network (ANN) and Multiple Liner Regression (MLR). (d) Comparative analysis of Artificial Neural Network (ANN) and Multiple Liner Regression (MLR) results. (f) Relative analysis to find out individual impact of each input parameter in predicted value of wind speed.
Autorenporträt
Dr. Harish Kumar Ghritlahre ha conseguito il Bachelor of Engineering (BE) presso il GEC Jagdalpur CG (2007), il M.Tech presso il NIT Raipur CG (2012) e il Ph.D presso il NIT Jamshedpur JH (2019). È professore assistente presso il Dipartimento di ingegneria energetica e ambientale della Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai, Chhattisgarh, India.