On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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4 results for “redispatch”

Negative redispatch power for green hydrogen production: Game changer or lame duck? A German perspectiveq-fin.GN

Low redispatch prices boost green hydrogen production cost, encouraging electrolyzer siting.

problem Uncertainty in redispatch power availability and its impact on green hydrogen production cost.

method Historic redispatch time series analysis and power purchase scenarios evaluation.

result Low price levels can lead to notable production cost reductions, incentivizing electrolyzer siting.

redispatch green hydrogen electrolyzer production cost price levels

2025-07-25abs ↗pdf ↗

On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatchingcs.LG

The paper compares DL models to WP curve modeling for forecasting with irregular shutdowns.

problem Forecasting wind power with irregular shutdowns due to redispatching.

method Compared autoregressive DL models to WP curve modeling.

result WP curve modeling achieves lower forecasting errors and is more computationally efficient.

wind power forecasting redispatching deep learning autoregressive models

2024-11-30abs ↗pdf ↗

Learning to run a power network challenge for training topology controllerseess.SP

For power grid operations, a large body of research focuses on using generation redispatching, load shedding or demand side management flexibilities. However, a less costly and potentially more flexible option would be grid topology reconfiguration, as already partially exploited by Coreso (European RSC) and RTE (Frenc…

2019-12-05abs ↗pdf ↗

Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectoriesq-fin.ST

The study forecasts hourly intraday electricity prices using ensemble methods.

problem Weak-form efficiency of hourly German Intraday Continuous Market prices.

method Probabilistic forecasting with ensemble trajectories, generalized additive model, and lasso penalty.

result The mixture model outperforms benchmarks in forecasting price distribution and volatility.

electricity prices ensemble forecasting intraday market probabilistic modeling rolling window

2020-05-04abs ↗pdf ↗