Dávid Markovics
PhD Student
Joined January 1, 2025
Dávid works on machine-learning methods for photovoltaic power forecasting and electricity market/imbalance forecasting, frequently publishing with Martin Mayer. According to his public profiles he is a PhD student at BME's Department of Energy Engineering.
(Compiled from public profiles — please review and correct.)
Research interests
- Machine learning for photovoltaic power forecasting
- Electricity market and imbalance forecasting
- Grid balancing and energy storage
Publications by Dávid Markovics
Dávid Markovics, Gergő Bendegúz Békési, Martin János Mayer
A unified benchmark of deep learning and classical machine learning models for weather-based solar power forecasting: Balancing complexity and skillJournal article · Energy and AI · 2026
Dávid Markovics, Soós, V., Martin János Mayer
Advanced predictor selection for post-processing of global horizontal irradiance forecasts with stepwise machine learning regressionJournal article · Solar Energy · 2026
Martin János Mayer, Yang, D., Dávid Markovics
Quality and economic value of operational photovoltaic power forecasts in the day-ahead marketJournal article · Energy Conversion and Management · 2026
Gergő Bendegúz Békési, Dávid Markovics
Application Possibilities of Energy Storage Systems in Electricity BalancingConference paper · 2025 10th International Youth Conference on Energy (IYCE) · 2025
Papik, Á., Dávid Markovics
Comparative Analysis of Machine Learning Algorithms for Hungarian Day-Ahead Market Price Forecasting with BESS-Based Linear OptimizationConference paper · 2025 10th International Youth Conference on Energy (IYCE) · 2025
More publications
Dávid Markovics, Martin János Mayer
Cost of photovoltaic power forecast errors based on machine learning, numerical weather prediction and real-time measurementsConference paper · 2025 IEEE 53rd Photovoltaic Specialists Conference (PVSC) · 2025
Soós, V., Dávid Markovics, Martin János Mayer
Solar power forecasting using machine learning and ECMWF weather variablesConference paper · 2025 10th International Youth Conference on Energy (IYCE) · 2025
Martin János Mayer, Yang, D., Dávid Markovics
The complexity and dimensionality of making deterministic photovoltaic power forecasts from ensemble numerical weather predictionJournal article · Energy Conversion and Management · 2025
Dávid Markovics, Fábián, A., Barbir, N., Tóth, T., Martin János Mayer
Total Load Forecasting of a Bidding Zone with Machine Learning Considering the Effect of Small-Scale Photovoltaic GenerationConference paper · 2025 10th International Youth Conference on Energy (IYCE) · 2025
Dávid Markovics, Martin János Mayer, Bessenyei, T.
Short-term imbalance forecasting with machine learning for proactive mFRR controllingConference paper · 2024 9th International Youth Conference on Energy (IYCE) · 2024
Dávid Markovics, Martin János Mayer
Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather predictionJournal article · Renewable and Sustainable Energy Reviews · 2022
Dávid Markovics, Martin János Mayer
Investigating the effect of training time for machine learning based photovoltaic power forecastingConference paper · 2022 8th International Youth Conference on Energy (IYCE) · 2022
TDK paper · 2022
Villamosenergia-rendszer frekvenciaszabályozásának kihívásai és fejlesztési lehetőségei gépi tanulás alapú előrejelzésekkelDávid Markovics — Supervisor: Martin János Mayer
Commendation (TDK)TDK paper · 2021
Rövidtávú kiegyenlítetlenség előrejelzés gépi tanulással proaktív mFRR szabályozás céljábólDávid Markovics — Supervisor: Martin János Mayer
1st place (TDK)2nd place (OTDK)TDK paper · 2020
Különböző gépi tanulási algoritmusok optimalizálása és összehasonlítása napelemparkok statisztikai alapú termelés előrejelzéséreDávid Markovics — Supervisor: Martin János Mayer
1st place (TDK)1st place (OTDK)