Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204202170 ISBN 13: 9786204202174
Librería: preigu, Osnabrück, Alemania
EUR 36,25
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Wind Energy Survey and Forecasting Methods | Harish Kumar Ghritlahre (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204202174 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2021, 2021
ISBN 10: 6204202170 ISBN 13: 9786204202174
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 39,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 84 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204202170 ISBN 13: 9786204202174
Librería: moluna, Greven, Alemania
EUR 34,25
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ghritlahre Harish KumarDr. Harish Kumar Ghritlahre received his Bachelor of Engineering (BE) from GEC Jagdalpur CG (2007), M.Tech from NIT Raipur CG (2012) and PhD from NIT Jamshedpur JH (2019). He is an Assistant Professor in Energy.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Sep 2021, 2021
ISBN 10: 6204202170 ISBN 13: 9786204202174
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 39,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204202170 ISBN 13: 9786204202174
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 40,89
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.