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.
Hydropower reduces system electricity price and volatility, especially at extreme levels.
Paper proposes a new KPI for early fault detection in hydropower plants.
A brisk building boom of hydropower mega-dams is underway from China to Brazil. Whether benefits of new dams will outweigh costs remains unresolved despite contentious debates. We investigate this question with the "outside view" or "reference class forecasting" based on literature on decision-making under uncertainty …
Paper optimizes internal balancing of wind and hydropower to reduce intraday market volatility.
We solve non-Markovian optimal switching problems in discrete time on an infinite horizon, when the decision maker is risk aware and the filtration is general, and establish existence and uniqueness of solutions for the associated reflected backward stochastic difference equations. An example application to hydropower …
DoFlow models time series data for causal forecasting and anomaly detection.
Proposes a new NMF method incorporating neighborhood structure for better anomaly detection.
New method combines simple forecasting techniques for river flow predictions.