Author : Phalgun Madhusudan 1
Date of Publication :7th November 2016
Abstract: Electrical engineers around the world are researching applicability of micro and nano wind turbines placed around buildings and structures in cities to harvest clean renewable energy. Economic considerations of such endeavours have been studied to a very low extent. The practical non-existence of such functioning systems around the world prevents engineers from performing highly accurate studies of the economic impact of such projects. This paper uses unconventional statistical modelling in conjunction with Fermi estimation techniques to perform an economic analysis for such projects.
Reference :
-
- Dodge, Y. (2006), The Oxford Dictionary of Statistical Terms, OUP. ISBN 0-19-920613-9
- Moses, Lincoln E. (1986) Think and Explain with Statistics, Addison-Wesley, ISBN 978-0-201-15619-5 . pp. 1–3
- Chance, Beth L.; Rossman, Allan J. (2005). "Preface”. Investigating (PDF). Duxbury Press. ISBN 978-0-495-05064-3
- Nelder, J. A. (1990). The knowledge needed to computerise the analysis and interpretation of statistical information. In Expert systems and artificial intelligence: the need for information about data. Library Association Report, London, March, 23–27.
- Rubin, Donald B.; Little, Roderick J. A.,Statistical analysis with missing data, New York: Wiley 2002.
- Baeurle, Stephan A. (2009). "Multiscale modeling of polymer materials using field-theoretic methodologies: A survey about recent developments". Journal of Mathematical Chemistry. 46 (2): 363–426. doi:10.1007/s10910-008-9467-3
- Caflisch, R. E. (1998). Monte Carlo and quasiMonte Carlo methods. Acta Numerica. 7. Cambridge University Press. pp. 1–49
- Gould, Harvey; Tobochnik, Jan (1988). An Introduction to Computer Simulation Methods, Part 2, Applications to Physical Systems. Reading: AddisonWesley. ISBN 0-201-16504-X.