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Martin János Mayer
Martin János Mayer
Budapest University of Technology and Economics
Adresse e-mail validée de energia.bme.hu
Titre
Citée par
Citée par
Année
Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm
MJ Mayer, A Szilágyi, G Gróf
Applied Energy 269, 115058, 2020
3512020
Extensive comparison of physical models for photovoltaic power forecasting
MJ Mayer, G Gróf
Applied Energy 283, 116239, 2021
2932021
Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction
D Markovics, MJ Mayer
Renewable and Sustainable Energy Reviews 161, 112364, 2022
2682022
Benefits of physical and machine learning hybridization for photovoltaic power forecasting
MJ Mayer
Renewable and sustainable energy reviews 168, 112772, 2022
892022
Techno-economic optimization of grid-connected, ground-mounted photovoltaic power plants by genetic algorithm based on a comprehensive mathematical model
MJ Mayer, G Gróf
Solar Energy 202, 210-226, 2020
752020
Pairing ensemble numerical weather prediction with ensemble physical model chain for probabilistic photovoltaic power forecasting
MJ Mayer, D Yang
Renewable and Sustainable Energy Reviews 175, 113171, 2023
542023
Influence of design data availability on the accuracy of physical photovoltaic power forecasts
MJ Mayer
Solar Energy 227, 532-540, 2021
372021
Calibration of deterministic NWP forecasts and its impact on verification
MJ Mayer, D Yang
International Journal of Forecasting 39 (2), 981-991, 2023
362023
Probabilistic photovoltaic power forecasting using a calibrated ensemble of model chains
MJ Mayer, D Yang
Renewable and Sustainable Energy Reviews 168, 112821, 2022
362022
Model-based analysis of shading losses in ground-mounted photovoltaic power plants
N Varga, MJ Mayer
Solar energy 216, 428-438, 2021
342021
Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning
MJ Mayer, B Biró, B Szücs, A Aszódi
Applied Energy 336, 120801, 2023
292023
Impact of the tilt angle, inverter sizing factor and row spacing on the photovoltaic power forecast accuracy
MJ Mayer
Applied Energy 323, 119598, 2022
292022
Ecodesign of ground-mounted photovoltaic power plants: Economic and environmental multi-objective optimization
MJ Mayer, A Szilágyi, G Gróf
Journal of Cleaner Production 278, 123934, 2021
282021
Effects of the meteorological data resolution and aggregation on the optimal design of photovoltaic power plants
MJ Mayer
Energy Conversion and Management 241, 114313, 2021
262021
Comparing global and regional downscaled NWP models for irradiance and photovoltaic power forecasting: ECMWF versus AROME
MJ Mayer, D Yang, B Szintai
Applied Energy 352, 121958, 2023
242023
The reliability of photovoltaic power generation scheduling in seventeen European countries
H Zsiborács, G Pintér, A Vincze, NH Baranyai, MJ Mayer
Energy Conversion and Management 260, 115641, 2022
172022
Predictability and forecast skill of solar irradiance over the contiguous United States
B Liu, D Yang, MJ Mayer, CFM Coimbra, J Kleissl, M Kay, W Wang, ...
Renewable and Sustainable Energy Reviews 182, 113359, 2023
162023
A tutorial review of the solar power curve: Regressions, model chains, and their hybridization and probabilistic extensions
D Yang, X Xia, MJ Mayer
Advances in Atmospheric Sciences, 1-45, 2024
132024
Comparison of different solar energy utilization methods: Photovoltaic systems and solar thermal power plants
MJ Mayer
2015 5th International Youth Conference on Energy (IYCE), 1-7, 2015
122015
Design optimization and power forecasting of photovoltaic power plants
MJ Mayer
Budapest University of Technology and Economics, 2020
8*2020
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