Artificial intelligence and mathematical models of power grids driven by renewable energy sources: A survey

S Srinivasan, S Kumarasamy, ZE Andreadakis… - Energies, 2023 - mdpi.com
To face the impact of climate change in all dimensions of our society in the near future, the
European Union (EU) has established an ambitious target. Until 2050, the share of …

[HTML][HTML] A Reinforcement Learning approach for the continuous electricity market of Germany: Trading from the perspective of a wind park operator

M Lehna, B Hoppmann, C Scholz, R Heinrich - Energy and AI, 2022 - Elsevier
With the rising extension of renewable energies, the intraday electricity markets have
recorded a growing popularity amongst traders as well as electric utilities to cope with the …

Analysing trading trends in continuous intraday electricity markets

P Shinde, I Kouveliotis-Lysikatos… - 2021 56th International …, 2021 - ieeexplore.ieee.org
The intraday electricity market provides the possibility to trade closer to real-time, aiming at
assisting the market participants in improving their market position, based on their updated …

[HTML][HTML] Forecasting different dimensions of liquidity in the intraday electricity markets: A review

S Thakare, ND Bokde, AE Feijóo-Lorenzo - AIMS Energy, 2023 - aimspress.com
Energy consumption increases daily across the world. Electricity is the best means that
humankind has found for transmitting energy. This can be said regardless of its origin …

Bayesian hierarchical probabilistic forecasting of intraday electricity prices

D Nickelsen, G Müller - arXiv preprint arXiv:2403.05441, 2024 - arxiv.org
We present a first study of Bayesian forecasting of electricity prices traded on the German
continuous intraday market which fully incorporates parameter uncertainty. Our target …

Intraday Electricity Price Forecasting via LSTM and Trading Strategy for the Power Market: A Case Study of the West Denmark DK1 Grid Region

DK Kılıç, P Nielsen, A Thibbotuwawa - Energies, 2024 - mdpi.com
For several stakeholders, including market players, customers, grid operators, policy-
makers, investors, and energy efficiency initiatives, having a precise estimate of power …

Data-driven solutions for electricity price forecasting: The case of EU improvement project

K Elmoukhtafi, L Bellatreche, M Hamlich… - … Conference on Smart …, 2022 - Springer
Electricity is a necessity in all areas, which is why electricity consumption is increasing. With
the renewable energy revolution, the variability of electricity prices has also increased …

Comparative Analysis of Baseline Models for Rolling Price Forecasts in the German Continuous Intraday Electricity Market

T Hornek, S POTENCIANO MENCI… - Proceedings of the …, 2024 - orbilu.uni.lu
Short-term electricity trading on intraday markets is crucial for integrating variable renewable
energy in the power system. For instance, it allows energy suppliers to adjust their market …

[PDF][PDF] Energy and AI

M Lehna, J Viebahn, A Marot, S Tomforde, C Scholz - publica-rest.fraunhofer.de
With the rising extension of renewable energies, the intraday electricity markets have
recorded a growing popularity amongst traders as well as electric utilities to cope with the …

Intraday bidding optimization for a Nordic hydropower producer using fundamental drivers to forecast the intraday market

J Cabrol - 2021 - ntnuopen.ntnu.no
Denne masteroppgaven undersøker den potensielle fortjenesten for en vannkraftprodusent
fra NO3 som deltar i intradagsmarkedet. Oppgaven utforsker om forecasting av …