يعرض 1 - 20 نتائج من 101 نتيجة بحث عن '"Dhakal, Rabin"', وقت الاستعلام: 0.60s تنقيح النتائج
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    Book

    المصدر: Lecture Notes in Mechanical Engineering ; Emerging Trends in Mechanical and Industrial Engineering ; page 875-890 ; ISSN 2195-4356 2195-4364 ; ISBN 9789811969447 9789811969454

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    وصف الملف: application/pdf

    Relation: Sedai, A., Dhakal, R., Gautam, S., Dhamala, A., Bilbao, A., Wang, Q., Wigington, A., & Pol, S. 2023. Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production. Forecasting, 5(1). https://doi.org/10.3390/forecast5010014; https://doi.org/10.3390/forecast5010014; https://hdl.handle.net/2346/92885

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    Academic Journal

    المصدر: Dhakal , R , Bajracharya , T R , Shakya , S R , Kumal , B , Williamson , S , Khanal , K , Gautam , S & Ghale , D P 2018 , Computational and experimental investigation of runner for gravitational water vortex power plant . in 2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA 2017) : Proceedings of a meeting held 5-8 November 2017, San Diego, California, USA . Institute of Electrical and Electronics Engineers (IEEE) , San Diego , pp. 365-373 . https://doi.org/10.1109/ICRERA.2017.8191087

    وصف الملف: application/pdf

    Relation: urn:ISBN:9781538620960

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    Academic Journal

    المساهمون: National Institute of Biomedical Imaging and Bioengineering, University of Pennsylvania, National Institutes of Health

    المصدر: Nucleic Acids Research ; volume 47, issue 4, page 2002-2010 ; ISSN 0305-1048 1362-4962

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    Academic Journal
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    Academic Journal

    المصدر: Dhakal , R , Nepal , A , Acharya , A , Kumal , B , Aryal , T , Williamson , S , Khanal , K & Devkota , L 2017 , Technical and economic prospects for the site implementation of a gravitational water vortex power plant in Nepal . in 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA 2016) : Proceedings of a meeting held 20-23 November 2016, Birmingham, United Kingdom . Institute of Electrical and Electronics Engineers (IEEE) , pp. 1001-1006 . https://doi.org/10.1109/ICRERA.2016.7884485

    مصطلحات موضوعية: low head turbine, cost, micro hydropower integration

    وصف الملف: application/pdf

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    مصطلحات موضوعية: forecasting, machine learning, Weibull distribution, wind speed

    وصف الملف: application/pdf

    Relation: Dhakal, R., Sedai, A., Pol, S., Parameswaran, S., Nejat, A., & Moussa, H. 2022. A Novel Hybrid Method for Short-Term Wind Speed Prediction Based on Wind Probability Distribution Function and Machine Learning Models. Applied Sciences (Switzerland), 12(18). https://doi.org/10.3390/app12189038; https://doi.org/10.3390/app12189038; https://hdl.handle.net/2346/92013

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    Conference
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