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Muhammad Shahzad Nazir

Personal Details

First Name:Muhammad Shahzad
Middle Name:
Last Name:Nazir
Suffix:
RePEc Short-ID:pna710

Affiliation

Huaiyin Institute of Technology (Huaiyin Institute of Technology)

http://hyit.edu.cn
Huai'an, China

Research output

as
Jump to: Working papers Articles

Working papers

  1. Hardman, Scott & Plotz, Patrick & Tal, Gil & Axsen, Jonn & Figenbaum, Erik & Karlsson, Sten & Refa, Nazir & Sprei, Frances & Williams, Brett & Whitehead, Jake & Witkamp, Bert, 2019. "Exploring the Role of Plug-In Hybrid Electric Vehicles in Electrifying Passenger Transportation," Institute of Transportation Studies, Working Paper Series qt3w53q2h9, Institute of Transportation Studies, UC Davis.
  2. Nazir, Sidra, 2017. "Encompassing Of Nested and Non-nested Models:Energy-Growth Models," MPRA Paper 77487, University Library of Munich, Germany.
  3. Nazir, Sidra & Saeed, Saira & Muhammad, Atta, 2017. "Threshold Modeling for Inflation and GDP Growth," MPRA Paper 79649, University Library of Munich, Germany.

Articles

  1. Peng, Tian & Zhang, Chu & Zhou, Jianzhong & Nazir, Muhammad Shahzad, 2020. "Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting," Renewable Energy, Elsevier, vol. 156(C), pages 804-819.
  2. Muhammad Shahzad Nazir & Fahad Alturise & Sami Alshmrany & Hafiz. M. J Nazir & Muhammad Bilal & Ahmad N. Abdalla & P. Sanjeevikumar & Ziad M. Ali, 2020. "Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend," Sustainability, MDPI, vol. 12(9), pages 1-27, May.
  3. Nazir, U. & Saleem, S. & Nawaz, M. & Sadiq, Muhammad Adil & Alderremy, A.A., 2020. "Study of transport phenomenon in Carreau fluid using Cattaneo–Christov heat flux model with temperature dependent diffusion coefficients," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
  4. Muhammad Zeeshan Malik & Haoyong Chen & Muhammad Shahzad Nazir & Irfan Ahmad Khan & Ahmed N. Abdalla & Amjad Ali & Wan Chen, 2020. "A New Efficient Step-Up Boost Converter with CLD Cell for Electric Vehicle and New Energy Systems," Energies, MDPI, vol. 13(7), pages 1-14, April.
  5. Muhammad Shahzad Nazir & Ahmed N Abdalla, 2020. "The robustness assessment of doubly fed induction generator-wind turbine during short circuit," Energy & Environment, , vol. 31(4), pages 570-582, June.
  6. Amjid, Syed S. & Bilal, Muhammad Q. & Nazir, Muhammad S. & Hussain, Altaf, 2011. "Biogas, renewable energy resource for Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2833-2837, August.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Hardman, Scott & Plotz, Patrick & Tal, Gil & Axsen, Jonn & Figenbaum, Erik & Karlsson, Sten & Refa, Nazir & Sprei, Frances & Williams, Brett & Whitehead, Jake & Witkamp, Bert, 2019. "Exploring the Role of Plug-In Hybrid Electric Vehicles in Electrifying Passenger Transportation," Institute of Transportation Studies, Working Paper Series qt3w53q2h9, Institute of Transportation Studies, UC Davis.

    Cited by:

    1. Sugihara, Claire & Hardman, Scott & Chakraborty, Debapriya & Figenbaum, Erik & Beard, George & Boutueil, Virginie & Daina, Nicolò & Dütschke, Elisabeth & Hyun Lee, Jae & Refa, Nazir & Sovacool, Benjam, 2022. "Supporting Plug-in Electric Vehicle Adoption in Light-duty Fleets," Institute of Transportation Studies, Working Paper Series qt8jf994zw, Institute of Transportation Studies, UC Davis.
    2. Srinivasa Raghavan, Seshadri, 2020. "Behavioral Realism of Plug-In Electric Vehicle Usage: Implications for Emission Benefits, Energy Consumption, and Policies," Institute of Transportation Studies, Working Paper Series qt1rz000pf, Institute of Transportation Studies, UC Davis.

  2. Nazir, Sidra & Saeed, Saira & Muhammad, Atta, 2017. "Threshold Modeling for Inflation and GDP Growth," MPRA Paper 79649, University Library of Munich, Germany.

    Cited by:

    1. Drobyshevsky, Sergey M. (Дробышевский, Сергей) & Trunin, Pavel V. (Трунин, Павел) & Sinelnikova-Muryleva, Elena V. (Синельникова-Мурылева, Елена) & Makeeva, Natalja V. (Макеева, Наталья) & Grebenkina,, 2020. "Optimal Inflation in Russia: Theory and Practice [Оптимальная Инфляция В России: Теория И Практика]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 8-29, August.
    2. E. Sinelnikova-Muryleva V. & A. Grebenkina M. & Е. Синельникова-Мурылева В. & А. Гребенкина М., 2019. "Оптимальная инфляция и инфляционное таргетирование: страновой опыт // Optimal Inflation and Inflation Targeting: International Experience," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 23(1), pages 49-65.

Articles

  1. Peng, Tian & Zhang, Chu & Zhou, Jianzhong & Nazir, Muhammad Shahzad, 2020. "Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting," Renewable Energy, Elsevier, vol. 156(C), pages 804-819.

    Cited by:

    1. Zhang, Chu & Hu, Haowen & Ji, Jie & Liu, Kang & Xia, Xin & Nazir, Muhammad Shahzad & Peng, Tian, 2023. "An evolutionary stacked generalization model based on deep learning and improved grasshopper optimization algorithm for predicting the remaining useful life of PEMFC," Applied Energy, Elsevier, vol. 330(PA).
    2. Fu, Wenlong & Fang, Ping & Wang, Kai & Li, Zhenxing & Xiong, Dongzhen & Zhang, Kai, 2021. "Multi-step ahead short-term wind speed forecasting approach coupling variational mode decomposition, improved beetle antennae search algorithm-based synchronous optimization and Volterra series model," Renewable Energy, Elsevier, vol. 179(C), pages 1122-1139.
    3. Liu, Hui & Duan, Zhu & Chen, Chao, 2020. "Wind speed big data forecasting using time-variant multi-resolution ensemble model with clustering auto-encoder," Applied Energy, Elsevier, vol. 280(C).
    4. Acikgoz, Hakan & Budak, Umit & Korkmaz, Deniz & Yildiz, Ceyhun, 2021. "WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network," Energy, Elsevier, vol. 233(C).
    5. Heng, Jiani & Hong, Yongmiao & Hu, Jianming & Wang, Shouyang, 2022. "Probabilistic and deterministic wind speed forecasting based on non-parametric approaches and wind characteristics information," Applied Energy, Elsevier, vol. 306(PA).
    6. Zhang, Chu & Ma, Huixin & Hua, Lei & Sun, Wei & Nazir, Muhammad Shahzad & Peng, Tian, 2022. "An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction," Energy, Elsevier, vol. 254(PA).
    7. Lv, Sheng-Xiang & Wang, Lin, 2022. "Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization," Applied Energy, Elsevier, vol. 311(C).
    8. Wang, Yun & Zou, Runmin & Liu, Fang & Zhang, Lingjun & Liu, Qianyi, 2021. "A review of wind speed and wind power forecasting with deep neural networks," Applied Energy, Elsevier, vol. 304(C).
    9. Yang, Yang & Lang, Jin & Wu, Jian & Zhang, Yanyan & Su, Lijie & Song, Xiangman, 2022. "Wind speed forecasting with correlation network pruning and augmentation: A two-phase deep learning method," Renewable Energy, Elsevier, vol. 198(C), pages 267-282.
    10. Yang, Rui & Liu, Hui & Nikitas, Nikolaos & Duan, Zhu & Li, Yanfei & Li, Ye, 2022. "Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach," Energy, Elsevier, vol. 239(PB).
    11. Chengcheng Gu & Hua Li, 2022. "Review on Deep Learning Research and Applications in Wind and Wave Energy," Energies, MDPI, vol. 15(4), pages 1-19, February.
    12. Gairaa, Kacem & Voyant, Cyril & Notton, Gilles & Benkaciali, Saïd & Guermoui, Mawloud, 2022. "Contribution of ordinal variables to short-term global solar irradiation forecasting for sites with low variabilities," Renewable Energy, Elsevier, vol. 183(C), pages 890-902.
    13. Zhang, Chu & Qiao, Xiujie & Zhang, Zhao & Wang, Yuhan & Fu, Yongyan & Nazir, Muhammad Shahzad & Peng, Tian, 2024. "Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen estimator," Energy, Elsevier, vol. 295(C).
    14. Fu, Wenlong & Zhang, Kai & Wang, Kai & Wen, Bin & Fang, Ping & Zou, Feng, 2021. "A hybrid approach for multi-step wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM," Renewable Energy, Elsevier, vol. 164(C), pages 211-229.
    15. Feng, Zhong-kai & Huang, Qing-qing & Niu, Wen-jing & Yang, Tao & Wang, Jia-yang & Wen, Shi-ping, 2022. "Multi-step-ahead solar output time series prediction with gate recurrent unit neural network using data decomposition and cooperation search algorithm," Energy, Elsevier, vol. 261(PA).
    16. Ma, Huixin & Zhang, Chu & Peng, Tian & Nazir, Muhammad Shahzad & Li, Yiman, 2022. "An integrated framework of gated recurrent unit based on improved sine cosine algorithm for photovoltaic power forecasting," Energy, Elsevier, vol. 256(C).
    17. Du, Pei & Yang, Dongchuan & Li, Yanzhao & Wang, Jianzhou, 2024. "An innovative interpretable combined learning model for wind speed forecasting," Applied Energy, Elsevier, vol. 358(C).
    18. Peng, Tian & Zhang, Chu & Zhou, Jianzhong & Nazir, Muhammad Shahzad, 2021. "An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting," Energy, Elsevier, vol. 221(C).

  2. Muhammad Shahzad Nazir & Fahad Alturise & Sami Alshmrany & Hafiz. M. J Nazir & Muhammad Bilal & Ahmad N. Abdalla & P. Sanjeevikumar & Ziad M. Ali, 2020. "Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend," Sustainability, MDPI, vol. 12(9), pages 1-27, May.

    Cited by:

    1. Natei Ermias Benti & Mesfin Diro Chaka & Addisu Gezahegn Semie, 2023. "Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects," Sustainability, MDPI, vol. 15(9), pages 1-33, April.
    2. Christy Pérez-Albornoz & Ángel Hernández-Gómez & Victor Ramirez & Damien Guilbert, 2023. "Forecast Optimization of Wind Speed in the North Coast of the Yucatan Peninsula, Using the Single and Double Exponential Method," Clean Technol., MDPI, vol. 5(2), pages 1-22, June.
    3. Ola G. El‐Taliawi & Nihit Goyal & Michael Howlett, 2021. "Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching," Review of Policy Research, Policy Studies Organization, vol. 38(6), pages 640-660, November.
    4. Fotopoulou, Maria & Rakopoulos, Dimitrios & Petridis, Stefanos & Drosatos, Panagiotis, 2024. "Assessment of smart grid operation under emergency situations," Energy, Elsevier, vol. 287(C).
    5. Pinciroli, Luca & Baraldi, Piero & Ballabio, Guido & Compare, Michele & Zio, Enrico, 2022. "Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning," Renewable Energy, Elsevier, vol. 183(C), pages 752-763.
    6. Paweł Piotrowski & Inajara Rutyna & Dariusz Baczyński & Marcin Kopyt, 2022. "Evaluation Metrics for Wind Power Forecasts: A Comprehensive Review and Statistical Analysis of Errors," Energies, MDPI, vol. 15(24), pages 1-38, December.
    7. Henrik Zsiborács & Gábor Pintér & András Vincze & Nóra Hegedűsné Baranyai, 2022. "Wind Power Generation Scheduling Accuracy in Europe: An Overview of ENTSO-E Countries," Sustainability, MDPI, vol. 14(24), pages 1-58, December.
    8. Siavash Asiaban & Nezmin Kayedpour & Arash E. Samani & Dimitar Bozalakov & Jeroen D. M. De Kooning & Guillaume Crevecoeur & Lieven Vandevelde, 2021. "Wind and Solar Intermittency and the Associated Integration Challenges: A Comprehensive Review Including the Status in the Belgian Power System," Energies, MDPI, vol. 14(9), pages 1-41, May.
    9. Paxis Marques João Roque & Shyama Pada Chowdhury & Zhongjie Huan, 2021. "Performance Enhancement of Proposed Namaacha Wind Farm by Minimising Losses Due to the Wake Effect: A Mozambican Case Study," Energies, MDPI, vol. 14(14), pages 1-22, July.
    10. Kyriakos Skarlatos & Eleni S. Bekri & Dimitrios Georgakellos & Polychronis Economou & Sotirios Bersimis, 2023. "Projecting Annual Rainfall Timeseries Using Machine Learning Techniques," Energies, MDPI, vol. 16(3), pages 1-20, February.
    11. Kübra Tümay Ateş, 2023. "Estimation of Short-Term Power of Wind Turbines Using Artificial Neural Network (ANN) and Swarm Intelligence," Sustainability, MDPI, vol. 15(18), pages 1-20, September.

  3. Nazir, U. & Saleem, S. & Nawaz, M. & Sadiq, Muhammad Adil & Alderremy, A.A., 2020. "Study of transport phenomenon in Carreau fluid using Cattaneo–Christov heat flux model with temperature dependent diffusion coefficients," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).

    Cited by:

    1. Ammar I. Alsabery & Mohammed J. Alshukri & Nasr A. Jabbar & Adel A. Eidan & Ishak Hashim, 2022. "Entropy Generation and Mixed Convection of a Nanofluid in a 3D Wave Tank with Rotating Inner Cylinder," Energies, MDPI, vol. 16(1), pages 1-12, December.

  4. Muhammad Zeeshan Malik & Haoyong Chen & Muhammad Shahzad Nazir & Irfan Ahmad Khan & Ahmed N. Abdalla & Amjad Ali & Wan Chen, 2020. "A New Efficient Step-Up Boost Converter with CLD Cell for Electric Vehicle and New Energy Systems," Energies, MDPI, vol. 13(7), pages 1-14, April.

    Cited by:

    1. Salvatore Musumeci, 2023. "Energy Conversion Using Electronic Power Converters: Technologies and Applications," Energies, MDPI, vol. 16(8), pages 1-9, April.
    2. Ahmad Alzahrani & Pourya Shamsi & Mehdi Ferdowsi, 2020. "Interleaved Multistage Step-Up Topologies with Voltage Multiplier Cells," Energies, MDPI, vol. 13(22), pages 1-18, November.
    3. Ahmad Alzahrani & Pourya Shamsi & Mehdi Ferdowsi, 2020. "A Family of High Voltage Gain Three-Level Step-Up Converters for Photovoltaic Module Integration Applications," Energies, MDPI, vol. 13(22), pages 1-17, November.
    4. Hassan Khalid & Saad Mekhilef & Marizan Binti Mubin & Mehdi Seyedmahmoudian & Alex Stojcevski & Muhyaddin Rawa & Ben Horan, 2022. "Analysis and Design of Series-LC-Switch Capacitor Multistage High Gain DC-DC Boost Converter for Electric Vehicle Applications," Sustainability, MDPI, vol. 14(8), pages 1-24, April.
    5. Piotr Zimoch & Marcin Kasprzak & Kamil Kierepka, 2020. "Influence of MOSFET Parasitic Capacitance on the Operation of Interleaved ZVS Boost Converters," Energies, MDPI, vol. 13(22), pages 1-17, November.
    6. Belqasem Aljafari & Senthil Kumar Ramu & Gunapriya Devarajan & Indragandhi Vairavasundaram, 2022. "Integration of Photovoltaic-Based Transformerless High Step-Up Dual-Output–Dual-Input Converter with Low Power Losses for Energy Storage Applications," Energies, MDPI, vol. 15(15), pages 1-19, July.

  5. Muhammad Shahzad Nazir & Ahmed N Abdalla, 2020. "The robustness assessment of doubly fed induction generator-wind turbine during short circuit," Energy & Environment, , vol. 31(4), pages 570-582, June.

    Cited by:

    1. Muhammad Shahzad Nazir & Fahad Alturise & Sami Alshmrany & Hafiz. M. J Nazir & Muhammad Bilal & Ahmad N. Abdalla & P. Sanjeevikumar & Ziad M. Ali, 2020. "Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend," Sustainability, MDPI, vol. 12(9), pages 1-27, May.

  6. Amjid, Syed S. & Bilal, Muhammad Q. & Nazir, Muhammad S. & Hussain, Altaf, 2011. "Biogas, renewable energy resource for Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2833-2837, August.

    Cited by:

    1. Wakeel, Muhammad & Hayat, Tasawer & Shah, Noor Samad & Iqbal, Jibran & Haq Khan, Zia Ul & Shah, Ghulam Mustafa & Rasool, Atta, 2023. "Biogas Energy Resources in Pakistan Status, Potential, and Barriers," Utilities Policy, Elsevier, vol. 84(C).
    2. Arshad, Muhammad & Bano, Ijaz & Khan, Nasrullah & Shahzad, Mirza Imran & Younus, Muhammad & Abbas, Mazhar & Iqbal, Munawar, 2018. "Electricity generation from biogas of poultry waste: An assessment of potential and feasibility in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1241-1246.
    3. Chakrabarti, Mohammed Harun & Ali, Mehmood & Usmani, Jafar Nazir & Khan, Nasim Ahmed & Hasan, Diya'uddeen Basheer & Islam, Md. Sakinul & Abdul Raman, Abdul Aziz & Yusoff, Rozita & Irfan, Muhammad Fais, 2012. "Status of biodiesel research and development in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4396-4405.
    4. Asma Shahzad & Sara Hanif, 2014. "Techno-economic feasibility of biogas generation in Attari village, Ferozepur road, Lahore," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(5), pages 977-993, October.
    5. Ni, Ji-Qin, 2024. "A review of household and industrial anaerobic digestion in Asia: Biogas development and safety incidents," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    6. Rozina, & Asif, Saira & Ahmad, Mushtaq & Zafar, Muhammad & Ali, Nsir, 2017. "Prospects and potential of fatty acid methyl esters of some non-edible seed oils for use as biodiesel in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 687-702.
    7. Bai, Dongbei & Jain, Vipin & Tripathi, Mamta & Ali, Syed Ahtsham & Shabbir, Malik Shahzad & Mohamed, Mady A.A. & Ramos-Meza, Carlos Samuel, 2022. "Performance of biogas plant analysis and policy implications: Evidence from the commercial sources," Energy Policy, Elsevier, vol. 169(C).
    8. Muhammad Irfan & Michael P. Cameron & Gazi Hassan, 2018. "Interventions to Mitigate Indoor Air Pollution: A Cost-Benefit Analysis," Working Papers in Economics 18/14, University of Waikato, revised 06 Jan 2021.
    9. Raza, Rizwan & Akram, Nadeem & Javed, Muhammad Sufyan & Rafique, Asia & Ullah, Kaleem & Ali, Amjad & Saleem, M. & Ahmed, Riaz, 2016. "Fuel cell technology for sustainable development in Pakistan – An over-view," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 450-461.
    10. Uddin, Waqar & Khan, B. & Shaukat, Neelofar & Majid, Muhammad & Mujtaba, G. & Mehmood, Arshad & Ali, S.M. & Younas, U. & Anwar, Muhammad & Almeshal, Abdullah M., 2016. "Biogas potential for electric power generation in Pakistan: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 25-33.
    11. Ahmed, Saeed & Mahmood, Anzar & Hasan, Ahmad & Sidhu, Guftaar Ahmad Sardar & Butt, Muhammad Fasih Uddin, 2016. "A comparative review of China, India and Pakistan renewable energy sectors and sharing opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 216-225.
    12. Biberacher, Markus & Tum, Markus & Günther, Kurt P. & Gadocha, Sabine & Zeil, Peter & Jilani, Rehmatullah & Mansha, Muhammad, 2015. "Availability assessment of bioenergy and power plant location optimization: A case study for Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 700-711.
    13. Yasar, Abdullah & Rasheed, Rizwan & Tabinda, Amtul Bari & Tahir, Aleena & Sarwar, Friha, 2017. "Life cycle assessment of a medium commercial scale biogas plant and nutritional assessment of effluent slurry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 364-371.
    14. Rehman, Muhammad Saif Ur & Rashid, Naim & Saif, Ameena & Mahmood, Tariq & Han, Jong-In, 2013. "Potential of bioenergy production from industrial hemp (Cannabis sativa): Pakistan perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 154-164.
    15. Shaikh, Faheemullah & Ji, Qiang & Fan, Ying, 2015. "The diagnosis of an electricity crisis and alternative energy development in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1172-1185.
    16. Kamran, Muhammad & Fazal, Muhammad Rayyan & Mudassar, Muhammad, 2020. "Towards empowerment of the renewable energy sector in Pakistan for sustainable energy evolution: SWOT analysis," Renewable Energy, Elsevier, vol. 146(C), pages 543-558.
    17. Maghanaki, M. Mohammadi & Ghobadian, B. & Najafi, G. & Galogah, R. Janzadeh, 2013. "Potential of biogas production in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 702-714.
    18. Shakeel, Shah Rukh & Takala, Josu & Shakeel, Waqas, 2016. "Renewable energy sources in power generation in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 421-434.
    19. Mahmood, Anzar & Javaid, Nadeem & Zafar, Adnan & Ali Riaz, Raja & Ahmed, Saeed & Razzaq, Sohail, 2014. "Pakistan's overall energy potential assessment, comparison of LNG, TAPI and IPI gas projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 182-193.
    20. Yasar, Abdullah & Nazir, Saba & Tabinda, Amtul Bari & Nazar, Masooma & Rasheed, Rizwan & Afzaal, Muhammad, 2017. "Socio-economic, health and agriculture benefits of rural household biogas plants in energy scarce developing countries: A case study from Pakistan," Renewable Energy, Elsevier, vol. 108(C), pages 19-25.
    21. Khan, Hassan A. & Pervaiz, Saad, 2013. "Technological review on solar PV in Pakistan: Scope, practices and recommendations for optimized system design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 147-154.
    22. Yasar, Abdullah & Nazir, Saba & Rasheed, Rizwan & Tabinda, Amtul Bari & Nazar, Masooma, 2017. "Economic review of different designs of biogas plants at household level in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 221-229.
    23. Darda, Md Abud & Guseo, Renato & Mortarino, Cinzia, 2015. "Nonlinear production path and an alternative reserves estimate for South Asian natural gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 654-664.
    24. Suberu, Mohammed Yekini & Bashir, Nouruddeen & Mustafa, Mohd. Wazir, 2013. "Biogenic waste methane emissions and methane optimization for bioelectricity in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 643-654.
    25. Jan, Inayatullah & Akram, Waqar, 2018. "Willingness of rural communities to adopt biogas systems in Pakistan: Critical factors and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3178-3185.
    26. Syed M Amir & Yonggong Liu & Ashfaq A Shah & Umer Khayyam & Zafar Mahmood, 2020. "Empirical study on influencing factors of biogas technology adoption in Khyber Pakhtunkhwa, Pakistan," Energy & Environment, , vol. 31(2), pages 308-329, March.
    27. Sher, Hadeed Ahmed & Murtaza, Ali F & Addoweesh, Khaled E & Chiaberge, Marcello, 2015. "Pakistan’s progress in solar PV based energy generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 213-217.
    28. Hayat, Farah & Pirzada, Muhammad Daniel Saeed & Khan, Abid Ali, 2018. "The validation of Granger causality through formulation and use of finance-growth-energy indexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1859-1867.
    29. Raza Muhammad khan & Sohail Farooq & Muhammad Akram Gilal, 2020. "Electricity Consumption and Economic Growth: A Time-Series Study on Pakistan," Global Economics Review, Humanity Only, vol. 5(1), pages 24-37, March.
    30. Zanxin Wang & Saqib Ali & Ahsan Akbar & Farhan Rasool, 2020. "Determining the Influencing Factors of Biogas Technology Adoption Intention in Pakistan: The Moderating Role of Social Media," IJERPH, MDPI, vol. 17(7), pages 1-20, March.
    31. Zeb, Iftikhar & Yousaf, Sana & Ali, Muhammad & Yasmeen, Aqsa & Khan, Anwar Zeb & Tariq, Junaid Ahmad & Zhao, Quanbao & Abbasi, Arshad Mehmood & Ahmad, Raza & Khalil, Tariq Mahmood & Yaqoob, Asim & Bil, 2022. "In-situ microaeration of anaerobic digester treating buffalo manure for enhanced biogas yield," Renewable Energy, Elsevier, vol. 181(C), pages 843-850.
    32. Shah, Syed Hasnain & Raja, Iftikhar Ahmed & Rizwan, Muhammad & Rashid, Naim & Mahmood, Qaisar & Shah, Fayyaz Ali & Pervez, Arshid, 2018. "Potential of microalgal biodiesel production and its sustainability perspectives in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 76-92.
    33. Rasheed, Rizwan & Khan, Naghman & Yasar, Abdullah & Su, Yuehong & Tabinda, Amtul Bari, 2016. "Design and cost-benefit analysis of a novel anaerobic industrial bioenergy plant in Pakistan," Renewable Energy, Elsevier, vol. 90(C), pages 242-247.
    34. Muhammad U. Khan & Muhammad Ahmad & Muhammad Sultan & Ihsanullah Sohoo & Prakash C. Ghimire & Azlan Zahid & Abid Sarwar & Muhammad Farooq & Uzair Sajjad & Peyman Abdeshahian & Maryam Yousaf, 2021. "Biogas Production Potential from Livestock Manure in Pakistan," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    35. Kabir, H & Palash, M S & Bauer, S, 2012. "Appraisal of domestic biogas plants in Bangladesh," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 35(1-2).
    36. Abbas, Tahir & Ali, Ghaffar & Adil, Sultan Ali & Bashir, Muhammad Khalid & Kamran, Muhammad Asif, 2017. "Economic analysis of biogas adoption technology by rural farmers: The case of Faisalabad district in Pakistan," Renewable Energy, Elsevier, vol. 107(C), pages 431-439.
    37. Yusuf, Rafiu O. & Noor, Zainura Z. & Abba, Ahmad H. & Hassan, Mohd Ariffin Abu & Din, Mohd Fadhil Mohd, 2012. "Methane emission by sectors: A comprehensive review of emission sources and mitigation methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5059-5070.
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    44. Sarker, Swati Anindita & Wang, Shouyang & Adnan, K.M. Mehedi & Sattar, M. Nahid, 2020. "Economic feasibility and determinants of biogas technology adoption: Evidence from Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ENE: Energy Economics (2) 2017-04-02 2019-04-29
  2. NEP-CWA: Central and Western Asia (1) 2017-06-18
  3. NEP-TRE: Transport Economics (1) 2019-04-29

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