Items where Author is "Mayer, Martin János"

Article

Sziffer, Bence and Mayer, Martin János and Józsa, Viktor (2025) Detailed system modeling of a vanadium redox flow battery operating at various geographical locations. APPLIED ENERGY, 384. No. 125473. ISSN 0306-2619

Yang, Dazhi and Liu, Bai and Zhang, Hao and Xia, Xiang’ao and Shen, Yanbo and Mayer, Martin János (2025) A Second Tutorial Review of the Solar Power Curve: Applications in Energy Meteorology. ADVANCES IN ATMOSPHERIC SCIENCES, 42 (2). pp. 269-296. ISSN 0256-1530

Mayer, Martin János and Yang, Dazhi and Markovics, Dávid (2025) The complexity and dimensionality of making deterministic photovoltaic power forecasts from ensemble numerical weather prediction. ENERGY CONVERSION AND MANAGEMENT, 344. No.-120303. ISSN 0196-8904 (In Press)

Song, 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 Section

Mayer, Martin János (2025) Hybrid probabilistic photovoltaic power forecasting method for bidding on the day-ahead market. In: 2025 IEEE 53rd Photovoltaic Specialists Conference (PVSC). Proceedings - IEEE Photovoltaic Specialists Conference, PVSC . IEEE, Piscataway (NJ), 0824-0829. ISBN 9798331534448

Soós, Viktória and Markovics, Dávid and Mayer, Martin János (2025) Solar power forecasting using machine learning and ECMWF weather variables. In: 2025 10th International Youth Conference on Energy (IYCE). Institute of Electrical and Electronics Engineers (IEEE), Budapest.

Tóth-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