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Jandry Javier Ramon

Personal Details

First Name:Jandry
Middle Name:Javier
Last Name:Ramon
Suffix:
RePEc Short-ID:pra1180

Affiliation

Centro de Investigaciones Sociales y Económicas (CISE)
Universidad Nacional de Loja

Loja, Ecuador
https://unl.edu.ec/investigacion/centro-sociales-economicas
RePEc:edi:ceunlec (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Nienhuys-Cheng, S-H. & van Laer, W. & Ramon, J. & de Raedt, L., 2000. "Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms," ERIM Report Series Research in Management ERS-2000-39-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

Articles

  1. Lledó, Ll. & Torralba, V. & Soret, A. & Ramon, J. & Doblas-Reyes, F.J., 2019. "Seasonal forecasts of wind power generation," Renewable Energy, Elsevier, vol. 143(C), pages 91-100.

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

    Sorry, no citations of working papers recorded.

Articles

  1. Lledó, Ll. & Torralba, V. & Soret, A. & Ramon, J. & Doblas-Reyes, F.J., 2019. "Seasonal forecasts of wind power generation," Renewable Energy, Elsevier, vol. 143(C), pages 91-100.

    Cited by:

    1. Dai, Xiaoran & Liu, Guo-Ping & Hu, Wenshan, 2023. "An online-learning-enabled self-attention-based model for ultra-short-term wind power forecasting," Energy, Elsevier, vol. 272(C).
    2. Han Peng & Songyin Li & Linjian Shangguan & Yisa Fan & Hai Zhang, 2023. "Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research," Sustainability, MDPI, vol. 15(10), pages 1-35, May.
    3. Kunle Babaremu & Nmesoma Olumba & Ikenna Chris-Okoro & Konyegwachie Chuckwuma & Tien-Chien Jen & Oluseyi Oladijo & Esther Akinlabi, 2022. "Overview of Solar–Wind Hybrid Products: Prominent Challenges and Possible Solutions," Energies, MDPI, vol. 15(16), pages 1-25, August.
    4. Karthick Kanagarathinam & S. K. Aruna & S. Ravivarman & Mejdl Safran & Sultan Alfarhood & Waleed Alrajhi, 2023. "Enhancing Sustainable Urban Energy Management through Short-Term Wind Power Forecasting Using LSTM Neural Network," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    5. 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.
    6. Bastien Alonzo & Philippe Drobinski & Riwal Plougonven & Peter Tankov, 2020. "Measuring the Risk of Supply and Demand Imbalance at the Monthly to Seasonal Scale in France," Energies, MDPI, vol. 13(18), pages 1-21, September.
    7. Katopodis, Theodoros & Markantonis, Iason & Vlachogiannis, Diamando & Politi, Nadia & Sfetsos, Athanasios, 2021. "Assessing climate change impacts on wind characteristics in Greece through high resolution regional climate modelling," Renewable Energy, Elsevier, vol. 179(C), pages 427-444.
    8. Lledó, Llorenç & Ramon, Jaume & Soret, Albert & Doblas-Reyes, Francisco-Javier, 2022. "Seasonal prediction of renewable energy generation in Europe based on four teleconnection indices," Renewable Energy, Elsevier, vol. 186(C), pages 420-430.
    9. Zhang, Yi & Cheng, Chuntian & Yang, Tiantian & Jin, Xiaoyu & Jia, Zebin & Shen, Jianjian & Wu, Xinyu, 2022. "Assessment of climate change impacts on the hydro-wind-solar energy supply system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    10. Hai Lin & Yi Yang & Shuguang Wang & Shuyu Wang & Jianping Tang & Guangtao Dong, 2023. "Evaluation of MSWX Bias-Corrected Meteorological Forcing Datasets in China," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    11. Ziemba, Paweł, 2022. "Uncertain Multi-Criteria analysis of offshore wind farms projects investments – Case study of the Polish Economic Zone of the Baltic Sea," Applied Energy, Elsevier, vol. 309(C).
    12. Olaofe, Z.O., 2019. "Quantification of the near-surface wind conditions of the African coast: A comparative approach (satellite, NCEP CFSR and WRF-based)," Energy, Elsevier, vol. 189(C).

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