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Found 19 papers, 4 papers with code
Why Reinforcement Learning in Energy Systems Needs Explanations
With economic development, the complexity of infrastructure has increased drastically.
An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network
To reduce the heavy computational burden of reactive power optimization of distribution networks, machine learning models are receiving increasing attention.
Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs
Accurate forecasts of electricity prices are crucial for the management of electric power systems and the development of smart applications.
Transformer Training Strategies for Forecasting Multiple Load Time Series
We evaluate whether a Transformer load forecasting model benefits from a transfer learning strategy, where a global univariate model is trained on the load time series from multiple clients.
Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence
Therefore, the electrical power grid's operation and energy and balancing markets are subject to strict regulations.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Understanding electricity prices beyond the merit order principle using explainable AI
In perfect competition, the merit order principle describes that dispatchable power plants enter the market in the order of their marginal costs to meet the residual load, i. e. the difference of load and renewable generation.
Physics-inspired machine learning for power grid frequency modelling
Finally, we generate synthetic time series from the model, which successfully reproduce central characteristics of the grid frequency such as their heavy-tailed distribution.
Understanding Braess' Paradox in power grids
The ongoing energy transition requires power grid extensions to connect renewable generators to consumers and to transfer power among distant areas.
Predicting the power grid frequency of European islands
In the present paper, we utilize measurements of the power grid frequency obtained in European islands: the Faroe Islands, Ireland, the Balearic Islands and Iceland and investigate how their frequency can be predicted, compared to the Nordic power system, acting as a reference.
Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI
Here, we investigate the interaction of power imbalances - represented through the power grid frequency - and power flows on HVDC links between synchronous areas in Europe.
Validation Methods for Energy Time Series Scenarios from Deep Generative Models
The design and operation of modern energy systems are heavily influenced by time-dependent and uncertain parameters, e. g., renewable electricity generation, load-demand, and electricity prices.
Secondary control activation analysed and predicted with explainable AI
Secondary control is key in restoring the power system to its reference following a disturbance.
Secondary frequency control stabilizing voltage dynamics
Even more interesting, while we only consider secondary frequency control, we observe a stabilizing effect on the voltage dynamics, especially in our numerical bulk analysis.
Exploring deterministic frequency deviations with explainable AI
Deterministic frequency deviations (DFDs) critically affect power grid frequency quality and power system stability.
Revealing drivers and risks for power grid frequency stability with explainable AI
Stable operation of the electrical power system requires the power grid frequency to stay within strict operational limits.
Isolating the impact of trading on grid frequency fluctuations
While particularly large frequency deviations in 2017 are not as frequent as in 2011, large deviations are more likely to occur shortly after the trading instances.
How Decentral Smart Grid Control limits non-Gaussian power grid frequency fluctuations
Furthermore, we review a decentral smart grid control scheme to limit these fluctuations.
Database of Power Grid Frequency Measurements
Data were collected using a self-developed measurement instrument, the Electrical Data Recorder (EDR), connected mostly to conventional power sockets.
Predictability of Power Grid Frequency
The power grid frequency is the central observable in power system control, as it measures the balance of electrical supply and demand.
