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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.

168,742 papers · 148 categories

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48 results for multiply winding curves

Paper tackles temporal overfitting in wind power curve modeling.

problem Temporal overfitting in wind power curve modeling.
method Proposes a Gaussian process-based method to partition and model time-invariant and time-varying components.
result Significant improvement in predicting responses for different time periods.

Study short-term wind power and speed predictions using machine learning.

problem Accurate short-term wind power and speed predictions for energy systems.
method Combining numerical weather prediction models with local observations, using machine learning for variable selection and forecasting.
result Improved wind power and speed predictions for 4-hour ahead using machine learning.

The paper extends the Manhattan curve concept to complex dynamics and studies its relation to multiplier spectra.

problem Understanding the growth rate of lengths of closed geodesics in complex dynamics.
method Defining and studying the Manhattan curve for holomorphic endomorphisms of CPk\mathbb{C}\mathbb{P}^k and relating it to multiplier spectra.
result The Manhattan curve for two holomorphic endomorphisms is related to the correlation number of their multiplier spectra.

We construct a new grading on the Goldman Lie algebra of a closed oriented surface by the winding number. This grading induces a grading on the HOMFLY-PT skein algebra and related algebras. Our work supports the conjectures of B. Cooper and P. Samuelson

2017-12-03abs ↗pdf ↗

The normal map of curves is analyzed as a vector field on a cylinder.

problem Understanding the geometric properties of normal maps and their vector field interpretation.
method Interpreting critical points geometrically, studying Poincaré index, projecting to sphere, and analyzing winding and rotation indices.
result Counting theorems regarding winding and rotation indices of curves and their evolutes are proven.

MLM models match or exceed RN in generating wind power time series without location info.

problem Generating accurate long-term wind power time series without location information.
method Applied neural networks to MERRA2 wind speed data with and without location info.
result MLM models produce time series of equal or better quality than RN.

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.

Suppose a smooth planar curve γγ is 2π-periodic in the xx direction and the length of one period is \ell. It is shown that if γγ self-intersects, then it has a segment of length 2π\ell- 2π on which it self-intersects and somewhere its curvature is at least 2π/(2π)2π/(\ell - 2π). The proof involves the projection ΓΓ

2010-11-09abs ↗pdf ↗

We prove existence and multiplicity of periodic motions for the forced 2-body problem under conditions of topological character. In the different cases, the lower bounds obtained for the number of solutions are related to the winding number of a curve in the plane, the homology of a space in R3\R^3, the knot type of a …

2013-03-22abs ↗pdf ↗

The paper studies ideal flows of closed curves, classifying critical points and proving flow behavior.

problem Analyzing the generalised ideal flow of closed planar curves.
method Completely classifies critical points and proves properties of the mm-ideal flow.
result For m>1m>1, the mm-ideal flow of closed curves converges to a round multiply-covered circle.

The study shows that certain curve graphs are hierarchically hyperbolic but not Gromov hyperbolic.

problem Characterizing the hyperbolicity of curve graphs and their boundaries.
method Using hierarchical hyperbolicity and framed curves, the study examines the properties of curve graphs and their boundaries.
result The curve graphs and their boundaries are hierarchically hyperbolic but not Gromov hyperbolic.

Study on dynamic curves with elastic energy and spontaneous curvature.

problem Modeling and analyzing dynamic planar curves with elastic energy.
method Gradient flow of inclination angle, nonlocal quasilinear system, local well-posedness, global existence, convergence.
result Local well-posedness, global existence, convergence of the flow for weak regularity initial data.

We prove a sharp estimate on the expected value of the integral of the index of a simple random walk on the square or triangular lattice. This gives new lower bounds on the averaged Dehn function, which measures the expected area needed to fill a random curve with a disc.

2008-07-14abs ↗pdf ↗

Let MmM^m be an oriented manifold, let Nm1N^{m-1} be an oriented closed manifold, and let pp be a point in MmM^m. For a smooth map f:Nm1Mm,p∉Imf,f:N^{m-1} \to M^m, p \not\in Im f, we introduce an invariant awinp(f)awin_p(f) that can be regarded as a generalization of the classical winding number of a planar curve around a point. We show…

2003-01-11abs ↗pdf ↗

The convex hull of a set K in space consists of points which are, in a certain sense, "surrounded" by K. When K is a closed curve, we define its higher hulls, consisting of points which are "multiply surrounded" by the curve. Our main theorem shows that if a curve is knotted then it has a nonempty second hull. This pro…

2002-04-10abs ↗pdf ↗

DeepMIDE forecasts wind speeds across space, time, and height for offshore wind energy.

problem Forecasting wind speeds across multiple heights for large offshore wind turbines.
method Statistical deep learning model that jointly models wind speeds at different heights using a multi-output integro-difference equation.
result DeepMIDE forecasts outperform traditional methods in real-world offshore wind energy data.

In this paper we use a gradient flow to deform closed planar curves to curves with least variation of geodesic curvature in the L2L^2 sense. Given a smooth initial curve we show that the solution to the flow exists for all time and, provided the length of the evolving curve remains bounded, smoothly converges to a mult…

2018-10-15abs ↗pdf ↗

New method quantifies resilience of electric distribution systems from historical data.

problem Large blackouts caused by extreme winds have significant costs and impacts.
method Formulate large event risk from utility outage data, quantify resilience improvements through investments.
result Investments in wind hardening and faster restoration can reduce the probability of large cost events.

Improved wind speed forecasts for power generation using machine learning.

problem Improving the accuracy and reliability of wind speed predictions for power generation.
method A novel machine learning approach for calibrating wind speed ensemble forecasts.
result The proposed method improves the calibration and accuracy of probabilistic and point forecasts.