A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price R Hafezi, J Shahrabi, E Hadavandi Applied Soft Computing Journal 29, 196–210, 2015 | 240 | 2015 |
An overview of global energy scenarios by 2040: identifying the driving forces using cross-impact analysis method S Ghasemian, A Faridzad, P Abbaszadeh, A Taklif, A Ghasemi, R Hafezi International Journal of Environmental Science and Technology, 1-24, 2020 | 111 | 2020 |
A new Pythagorean fuzzy-based decision-making method through entropy measure for fuel cell and hydrogen components supplier selection M Alipour, R Hafezi, P Rani, M Hafezi, A Mardani Energy, 121208, 2021 | 84 | 2021 |
A new hybrid fuzzy cognitive map-based scenario planning approach for Iran's oil production pathways in the postesanction period M Alipour, R Hafezi, M Amer, A Akhavan Energy 135, 851-864, 2017 | 82 | 2017 |
Characteristics and scenarios of solar energy development in Iran: Fuzzy cognitive map-based approach M Alipour, R Hafezi, E Papageorgiou, M Hafezi, M Alipour Renewable and Sustainable Energy Reviews 116, 2019 | 64 | 2019 |
A New Hybrid Decision Framework for Prioritizing Funding Allocation to Iran’s Energy Sector M Alipour, S Alighale, R Hafezi, M Omranievardi Energy 121, 388–402, 2017 | 63 | 2017 |
A Comparative Assessment of Predicting Daily Solar Radiation Using Bat Neural Network (BNN), Generalized Regression Neural Network (GRNN), and Neuro-Fuzzy (NF) System: A Case Study MM Lotfinejad, R Hafezi, M Khanali, SS Hosseini, M Mehrpooya, ... Energies 11 (5), 1188, 2018 | 57 | 2018 |
Projecting Plausible Futures for Iranian Oil and Gas industries: Analyzing of Historical Strategies R Hafezi, A Akhavan, S Pakseresht Journal of Natural Gas Science & Engineering 39, 15-27, 2017 | 50 | 2017 |
Long-term policy evaluation: Application of a new robust decision framework for Iran's energy exports security M Alipour, R Hafezi, B Ervural, MA Kaviani, Ö Kabak Energy 157, 914-931, 2018 | 47 | 2018 |
Forecasting Gold Price Changes: Application of an Equipped Artificial Neural Network R Hafezi, A Akhavan AUT Journal of Modeling & Simulation 50 (1), 71-82, 2018 | 41 | 2018 |
Global natural gas demand to 2025: A learning scenario development model R Hafezi, AN Akhavan, S Pakseresht, D A. Wood Energy 224, 2021 | 38 | 2021 |
Iran in the emerging global natural gas market: A scenario-based competitive analysis and policy assessment R Hafezi, DA Wood, AN Akhavan, S Pakseresht Resources Policy 68, 2020 | 31 | 2020 |
A Layered Uncertainties Scenario Synthesizing (LUSS) Model Applied to Evaluate Multiple Potential Long-run Outcomes for Iran’s Natural Gas Exports R Hafezi, A Akhavan, S Pakseresht, DA Wood Energy 169, 646-659, 2019 | 30 | 2019 |
Sustainability in Development: Rethinking About Old Paradigms R Hafezi, M Bahrami, AN Akhavan World Review of Science, Technology and Sustainable Development 13 (2), 192–204, 2017 | 27 | 2017 |
Developing a Data Mining Based Model to Extract Predictor Factors in Energy Systems: Application of Global Natural Gas Demand R Hafezi, AN Akhavan, M Zamani, S Pakseresht, S Shamshirband Energies 12 (21), 2019 | 24 | 2019 |
Renewable Energy Sources: Traditional and Modern Age Technologies R Hafezi, M Alipour Affordable and Clean Energy: Encyclopedia of the UN Sustainable Development …, 2021 | 22 | 2021 |
Energy Security and Sustainable Development R Hafezi, M Alipour Encyclopedia of the UN Sustainable Development Goals, 2021 | 20 | 2021 |
Analyzing Iran’s science and technology foresight programs: recommendations for further practices R Hafezi, S Malekifar, A Akhavan Foresight 20 (3), 312-331, 2018 | 20 | 2018 |
How Artificial Intelligence Can Improve Understanding in Challenging Chaotic Environments R Hafezi World Futures Review, 1-10, 2019 | 19 | 2019 |
Review of global energy trends towards 2040 and recommendations for Iran oil and gas sector H Heidari, M Akbari, A Souhankar, R Hafezi International Journal of Environmental Science and Technology, 2022 | 17 | 2022 |