Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method

Reza Gerami; Morteza Mohammadi Ardehal

doi:doi:10.11648/j.ijssam.20180302.15

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Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method

Reza Gerami, Morteza Mohammadi Ardehal

Published in International Journal of Systems Science and Applied Mathematics (Volume 3, Issue 2)

Received: 7 June 2018 Accepted: 3 July 2018 Published: 27 July 2018

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Abstract

In this study end-users energy consumption of Iran are predicted using ANN (artificial neural network) by historical data and socio-economic parameters (1990-2013) up to 2030 horizon. Iran energy balances are forecasted by bottom up analysis using LEAP (long-range energy alternative planning). On other hand solar energy promotion policies around the world, Iran policies and its solar energy potentials are investigated. Novel policy for Iran photovoltaic systems promotion are proposed and impact of this scenario implementation evaluated on Iran energy balance. Result show 750 MBOE (million barrel of oil equivalents) will be saved and 320 million metric tons co2 equivalent emission reduced up to 2030.

Published in	International Journal of Systems Science and Applied Mathematics (Volume 3, Issue 2)
DOI	10.11648/j.ijssam.20180302.15
Page(s)	52-61
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Energy Consumption, Energy Planning, ANN, LEAP, Policy, Photovoltaic

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APA Style

Reza Gerami, Morteza Mohammadi Ardehal. (2018). Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method. International Journal of Systems Science and Applied Mathematics, 3(2), 52-61. https://doi.org/10.11648/j.ijssam.20180302.15

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ACS Style

Reza Gerami; Morteza Mohammadi Ardehal. Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method. Int. J. Syst. Sci. Appl. Math. 2018, 3(2), 52-61. doi: 10.11648/j.ijssam.20180302.15

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AMA Style

Reza Gerami, Morteza Mohammadi Ardehal. Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method. Int J Syst Sci Appl Math. 2018;3(2):52-61. doi: 10.11648/j.ijssam.20180302.15

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@article{10.11648/j.ijssam.20180302.15,
  author = {Reza Gerami and Morteza Mohammadi Ardehal},
  title = {Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method},
  journal = {International Journal of Systems Science and Applied Mathematics},
  volume = {3},
  number = {2},
  pages = {52-61},
  doi = {10.11648/j.ijssam.20180302.15},
  url = {https://doi.org/10.11648/j.ijssam.20180302.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssam.20180302.15},
  abstract = {In this study end-users energy consumption of Iran are predicted using ANN (artificial neural network) by historical data and socio-economic parameters (1990-2013) up to 2030 horizon. Iran energy balances are forecasted by bottom up analysis using LEAP (long-range energy alternative planning). On other hand solar energy promotion policies around the world, Iran policies and its solar energy potentials are investigated. Novel policy for Iran photovoltaic systems promotion are proposed and impact of this scenario implementation evaluated on Iran energy balance. Result show 750 MBOE (million barrel of oil equivalents) will be saved and 320 million metric tons co2 equivalent emission reduced up to 2030.},
 year = {2018}
}

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TY  - JOUR
T1  - Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method
AU  - Reza Gerami
AU  - Morteza Mohammadi Ardehal
Y1  - 2018/07/27
PY  - 2018
N1  - https://doi.org/10.11648/j.ijssam.20180302.15
DO  - 10.11648/j.ijssam.20180302.15
T2  - International Journal of Systems Science and Applied Mathematics
JF  - International Journal of Systems Science and Applied Mathematics
JO  - International Journal of Systems Science and Applied Mathematics
SP  - 52
EP  - 61
PB  - Science Publishing Group
SN  - 2575-5803
UR  - https://doi.org/10.11648/j.ijssam.20180302.15
AB  - In this study end-users energy consumption of Iran are predicted using ANN (artificial neural network) by historical data and socio-economic parameters (1990-2013) up to 2030 horizon. Iran energy balances are forecasted by bottom up analysis using LEAP (long-range energy alternative planning). On other hand solar energy promotion policies around the world, Iran policies and its solar energy potentials are investigated. Novel policy for Iran photovoltaic systems promotion are proposed and impact of this scenario implementation evaluated on Iran energy balance. Result show 750 MBOE (million barrel of oil equivalents) will be saved and 320 million metric tons co2 equivalent emission reduced up to 2030.
VL  - 3
IS  - 2
ER  -

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Author Information

Reza Gerami

Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
Morteza Mohammadi Ardehal

Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

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APA Style

Reza Gerami, Morteza Mohammadi Ardehal. (2018). Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method. International Journal of Systems Science and Applied Mathematics, 3(2), 52-61. https://doi.org/10.11648/j.ijssam.20180302.15

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ACS Style

Reza Gerami; Morteza Mohammadi Ardehal. Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method. Int. J. Syst. Sci. Appl. Math. 2018, 3(2), 52-61. doi: 10.11648/j.ijssam.20180302.15

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AMA Style

Reza Gerami, Morteza Mohammadi Ardehal. Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method. Int J Syst Sci Appl Math. 2018;3(2):52-61. doi: 10.11648/j.ijssam.20180302.15

Copy | Download

@article{10.11648/j.ijssam.20180302.15,
  author = {Reza Gerami and Morteza Mohammadi Ardehal},
  title = {Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method},
  journal = {International Journal of Systems Science and Applied Mathematics},
  volume = {3},
  number = {2},
  pages = {52-61},
  doi = {10.11648/j.ijssam.20180302.15},
  url = {https://doi.org/10.11648/j.ijssam.20180302.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssam.20180302.15},
  abstract = {In this study end-users energy consumption of Iran are predicted using ANN (artificial neural network) by historical data and socio-economic parameters (1990-2013) up to 2030 horizon. Iran energy balances are forecasted by bottom up analysis using LEAP (long-range energy alternative planning). On other hand solar energy promotion policies around the world, Iran policies and its solar energy potentials are investigated. Novel policy for Iran photovoltaic systems promotion are proposed and impact of this scenario implementation evaluated on Iran energy balance. Result show 750 MBOE (million barrel of oil equivalents) will be saved and 320 million metric tons co2 equivalent emission reduced up to 2030.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Suggestion a Novel Scenario in Iran Renewable Energy Planning Based on Modified ANN Method
AU  - Reza Gerami
AU  - Morteza Mohammadi Ardehal
Y1  - 2018/07/27
PY  - 2018
N1  - https://doi.org/10.11648/j.ijssam.20180302.15
DO  - 10.11648/j.ijssam.20180302.15
T2  - International Journal of Systems Science and Applied Mathematics
JF  - International Journal of Systems Science and Applied Mathematics
JO  - International Journal of Systems Science and Applied Mathematics
SP  - 52
EP  - 61
PB  - Science Publishing Group
SN  - 2575-5803
UR  - https://doi.org/10.11648/j.ijssam.20180302.15
AB  - In this study end-users energy consumption of Iran are predicted using ANN (artificial neural network) by historical data and socio-economic parameters (1990-2013) up to 2030 horizon. Iran energy balances are forecasted by bottom up analysis using LEAP (long-range energy alternative planning). On other hand solar energy promotion policies around the world, Iran policies and its solar energy potentials are investigated. Novel policy for Iran photovoltaic systems promotion are proposed and impact of this scenario implementation evaluated on Iran energy balance. Result show 750 MBOE (million barrel of oil equivalents) will be saved and 320 million metric tons co2 equivalent emission reduced up to 2030.
VL  - 3
IS  - 2
ER  -

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