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Innovations in Energy Consumption Planning and Forecasting (Taking Government Agencies as an Example)


Evgeniy Malyshev
(about the author)

Malyshev Evgeniy Avenirovich – Ph.D. in Economics, Professor of the Academic Department of Economics and Organization of Industrial Production, Perm National Research Polytechnic University

Published in:
Creative Economy
– № 11 / November, 2012



Keywords: energy resources, incentives to reduce energy consumption, innovations in planning, management of energy efficiency, neural network technologies, neural networks, regional economics


Citation:
Evgeniy Malyshev (2012). Innovations in Energy Consumption Planning and Forecasting (Taking Government Agencies as an Example). Creative Economy, 6(11), 90-94. — url: http://bgscience.ru/com/lib/971


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Abstract:

Innovative planning system is based on a forecast of energy consumption based on neural network technology. The use of neural network techniques allows to create a new model of management of energy efficiency in the state institutions, including an entirely new system of incentives to reduce energy costs.







References:
1. Malyshev E.A., Martianov N.S. Prognozirovanie raskhoda energoresursov organizatsiyami byudzhetnoy sfery na osnove iskusstvennyh neyronnyh setey [Tekst]. – Permy: 2006.
2. Gorbany A.N., Rossiev D.A. Neyronnye seti na personalnom kompyyutere [Tekst]. – Novosibirsk: Nauka, 1996.
3. Voronovskiy G.K., Klepikov V.B., Kovalenko M.V., Makhotilo K.V. Neyrosetevaya model svyaznogo potrebleniya teplovoy i elektricheskoy energii krupnym zhilym massivom goroda [Tekst] // Vestnik Kharykovskogo gosudarstvennogo politekhnicheskogo universiteta. Seriya «Elektrotekhnika, elektronika i elektroprivod», Vypusk 113. – Kharykov: KhGPU, 2000.
4. Metody neyroinformatiki [Tekst] / Pod red. A.N. Gorbanya. – Krasnoyarsk: KGTU, 1998.
5. Malyshev E.A. Teoriya i metodologiya effektivnogo funktsionirovaniya regionalnogo energeticheskogo kompleksa [Tekst]. – Permy: 2011.