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Found 8 papers, 1 papers with code
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.
Stability bounds of droop-controlled inverters in power grid networks
First, we explore the stability of an inverter coupled to an infinite grid in an analytic fashion and uncover stability and instability regions.
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.
Change of persistence in European electricity spot prices
These markets are designed to balance excess or lack of power in short time periods, which leads to a large stochastic variability of the electricity prices.
Complexity and Persistence of Price Time Series of the European Electricity Spot Market
Electricity markets are central for the coordination of electric power generation.
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.
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.
kramersmoyal: Kramers--Moyal coefficients for stochastic processes
kramersmoyal is a python library to extract the Kramers--Moyal coefficients from timeseries of any dimension and to any desired order.
Computational Physics Adaptation and Self-Organizing Systems
