- Agrawal, R.K,, Singh, S.P. (2001), Energy allocation for cooking in UP household ,India, A fuzzy multi-objective analysis, Energy Conversion and Management, 42, 2139-2154.
- Asadi, F., (2007), The importance and necessities of optimization and decrease in the intensity of energy consumption. Journal of Parliament and Research, 54, 253-278, (in Persian).
- Borges, A.R., Antunes, C.H. (2003), A fuzzy multiple objective decision support model for energy-economy planning, European Journal of Operational Research, 145, 304-316.
- Deshmukh, S.S., Deshmukh, M.K. (2009), A new approach to micro-level energy planning-A case of northern parts of Rajasthan, India. Renewable and Sustainable Energy Reviews, 13, 634–642.
- Hiremath, R.B., Kumar, B., Balachandra, P., Ravindranath, N.H. (2010), Bottom-up approach for decentralised energy planning: Case study of Tumkur district in India, Energy Policy, 38, 862–874.
- Iran Statistical Yearbook. Statistical Center of Iran. Available at: http://amar.sci.org.ir/
- http://pep,moe.org.ir/
- http://riemp.ut.ac.ir/modeling-tim,mesa,mesage.htm
- http://www.eia.doe.gov/
- Jafari S., A., Dehghani, T., (2007), An Application of A Dynamic Optimization Model for the Natural Gas for Optimization of Iran Revenues from Natural Gas Reserves. Iranian Journal of Economic Research, 30, 165-192, (in Persian).
- Jinturkar, A.M., Deshmukh, S.S. (2011), A fuzzy mixed integer goal programming approach for cooking and heating energy planning in rural India. Expert Systems with Applications, 38, 11377–11381.
- KAMBO, N.S, HANDA, B.R., BOSE, R.K. (1990/91), A Linear Goal Programming Model for Urban Energy-Economy-Environment Interaction, Energy and Buildings, 537-551.
- Kazemi, A., Shakouri G, H, Menhaj, MB., Mehregan, MR., Neshat, N. (2010), A Hierarchical Fuzzy Linear Regression Model for Forecasting Agriculture Energy Demand: A Case Study of Iran, International Conference on Management Technology and Applications (ICMTA), Singapore.
- Kazemi, A., Shakouri G, H., Menhaj, MB., Mehregan, MR., Neshat, N. (2010), A Multi-level Artificial Neural Network for Residential and Commercial Energy Demand Forecast: Iran Case Study, International Conference on Management Technology and Applications (ICMTA), Singapore.
- Kazemi, A., Shakouri G, H., Menhaj, MB., Mehregan, MR., Taghizadeh, MR., Foroughi A, A. (2009), A Multi-level Artificial Neural Network for Gasoline Demand Forecasting of Iran, The 2nd International Conference on Computer and Electrical Engineering (ICCEE), Dubai.
- Mezher, T., Chedid, R., Zahabi, W. (1998), Energy resource allocation using multi-objective goal programming: the case of Lebanon, Applied Energy, 61, 175-192.
- Mohaghar, A., Mehregan, MR., Abolhasani, GhR. (2010), Use of decision making techniques to prioritize consumption and optimize allocation of natural gas using the fuzzy approach, Journal of Energy Economics Review, 24, 91-119, (in Persian).
- Renani, M., Sharifi, AM., Khosh Akhlagh, R., (2009), Determining the Priorities of Iran's Natural Gas Reserves Applications. The Economic Reseach, 3, 151-182, (in Persian).
- Sadeghi, M., Hossein Mirshojaeian, H. (2006), Energy supply planning in Iran by using fuzzy linear programming approach (regarding uncertainties of investment costs), Energy Policy, 34, 993–1003.
- Safarian, A., Ardehali, M.M., (2009), Developing a Reference Energy System for Energy Sector and a Model for Planning Electric Energy Sub-Sector in Iran, Quarterly Energy Economics Review, 19, 163-202, (in Persian).
- Shafiei, SE., Fakehi, AH., Shahmohammadi, F., (2006), Evaluation of optimal combination of energy carriers residential sector of Tehran using an energy supply model. The 5th Conference on Energy Conservation in Building, Tehran, Iran, (in Persian).
- Shahhosseini, A., (2009), Designing of energy policy making model in Iran’s vision horizon regard to system dynamics approach, case: Iran’s gas area, PhD dissertation, University of Tehran, Faculty of Management, (in Persian).
- Statistical Data Bank. Institute for International Energy Studies. Available at: http://new.iies.org/
- Taghizadeh, MR., Shakouri G, H., Menhaj, MB., Mehregan, MR., Kazemi, A. (2009), Design of a Multi-level Fuzzy Linear Regression Model for Forecasting Transport Energy Demand: A Case Study of Iran, 39th International Conference on Computers & Industrial Engineering (CIE39), France.
- Transportation. Iranian Fuel Conservation Company. Available at: http://www.ifco.ir.
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