Items where Author is "Mayer, Martin János"
Group by: Item Type | No Grouping Jump to: Article | Book Section Number of items: 11. ArticleSong, Mengmeng and Yang, Dazhi and Lerch, Sebastian and Xia, Xiang’ao and Yagli, Gokhan Mert and Bright, Jamie M. and Shen, Yanbo and Liu, Bai and Liu, Xingli and Mayer, Martin János (2024) Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts. ADVANCES IN ATMOSPHERIC SCIENCES, 41. pp. 1417-1437. ISSN 0256-1530 Mayer, Martin János and Yang, Dazhi (2024) Optimal place to apply post-processing in the deterministic photovoltaic power forecasting workflow. APPLIED ENERGY, 371. No. 123681. ISSN 0306-2619 Mayer, Martin János and Yang, Dazhi (2024) Potential root mean square error skill score. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 16 (1). No. 016501. ISSN 1941-7012 Yang, Dazhi and Xia, Xiang'ao and Mayer, Martin János (2024) A Tutorial Review of the Solar Power Curve : Regressions, Model Chains, and Their Hybridization and Probabilistic Extensions. ADVANCES IN ATMOSPHERIC SCIENCES, 41. pp. 1023-1067. ISSN 0256-1530 Mayer, Martin János and Yang, Dazhi and Szintai, Balázs (2023) Comparing global and regional downscaled NWP models for irradiance and photovoltaic power forecasting: ECMWF versus AROME. APPLIED ENERGY, 352. No-121958. ISSN 0306-2619 Mayer, Martin János and Yang, Dazhi (2023) Pairing Ensemble Numerical Weather Prediction with Ensemble Physical Model Chain for Probabilistic Photovoltaic Power Forecasting. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 175. No.-113171. ISSN 1364-0321 (print); 1879-0690 (online) Mayer, Martin János and Biró, Bence and Szücs, Botond and Aszódi, Attila (2023) Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning. APPLIED ENERGY, 336. No-120801. ISSN 0306-2619 Book SectionTóth-Kovács, Gellért and Mayer, Martin János (2024) Improving the utilization and reliability of household-scale photovoltaic systems by operating energy storage based on production and consumption forecasts. In: 2024 9th International Youth Conference on Energy (IYCE). International Youth Conference on Energy, IYCE . IEEE, Piscataway (NJ), pp. 1-6. ISBN 9798350372380 Ilyés, Botond and Mayer, Martin János (2024) Optimization of energy storage operation by linear programming. In: 2024 9th International Youth Conference on Energy (IYCE). International Youth Conference on Energy, IYCE . IEEE, Piscataway (NJ), No. 10634910. ISBN 9798350372380 Soós, Viktória and Mayer, Martin János (2024) Post-processing of global horizontal irradiance forecasts using machine learning. In: 2024 9th International Youth Conference on Energy (IYCE). International Youth Conference on Energy, IYCE . IEEE, Piscataway (NJ), No. 10634968. ISBN 9798350372380 Markovics, Dávid and Mayer, Martin János and Bessenyei, Tamás (2024) Short-Term imbalance forecasting with machine learning for proactive mFRR controlling. In: 2024 9th International Youth Conference on Energy (IYCE). International Youth Conference on Energy, IYCE . IEEE, Piscataway (NJ), No. 10634929. ISBN 9798350372380 |