Results 61 to 70 of about 130 (119)
Measure‐valued processes for energy markets
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero +3 more
wiley +1 more source
An L1-and-L2-regularized nonnegative tensor factorization for power load monitoring data imputation
As smart grid advance, Power Load Forecasting (PLF) has become a research hotspot. As the foundation of the forecasting model, the Power Load Monitoring (PLM) data takes on great importance due to its completeness, reliability and accuracy.
Xing Luo +5 more
doaj +1 more source
Wasserstein Nonnegative Tensor Factorization with Manifold Regularization
Nonnegative tensor factorization (NTF) has become an important tool for feature extraction and part-based representation with preserved intrinsic structure information from nonnegative high-order data. However, the original NTF methods utilize Euclidean or Kullback-Leibler divergence as the loss function which treats each feature equally leading to the
Jianyu Wang, Linruize Tang
openaire +2 more sources
Is the World Getting Smaller? Network‐Driven Heterogeneity in Gravity‐Model Elasticities
ABSTRACT Gravity models constitute the workhorse of empirical international trade research, yet the temporal stability of their core parameters—distance and GDP elasticities—remains underexplored, particularly in relation to the evolving structure of trade networks.
Zsolt T. Kosztyán +2 more
wiley +1 more source
Abstract Groundwater contamination assessments based on sparse wells rarely provide continuous hydraulic head and contaminant concentration fields for plume interpretation. Visually plausible reconstructions may not retain the transport information needed for physical diagnosis.
Zhiyu Jiao +9 more
wiley +1 more source
The Impact of BOLD‐Induced Linewidth Modulation on Functional 1H MRS Analysis
Functional MRS studies face a technical challenge: BOLD‐related lineshape changes can be mistaken for genuine metabolic changes, causing ~1% glutamate estimation bias at 3 and 7 T across conventional (LCModel, ABfit‐reg) and 2D fitting methods. Using synthetic data, this study shows that explicit BOLD linewidth correction—via dynamic lineshape ...
Martin Wilson +2 more
wiley +1 more source
ABSTRACT This study enhances a framework of surrogate computational homogenization (SCH) using decision tree‐based partition‐of‐unity radial basis function (PU‐RBF) interpolation for three‐dimensional finite‐deformation two‐scale analysis. The method addresses the scalability limitation of global RBF interpolation for large numerical material test (NMT)
Yosuke Yamanaka +2 more
wiley +1 more source
Nonlocal quantum field theory predicts a finite phase‐space resolution, so even highly squeezed quantum states cannot be localized beyond a fundamental nonlocal limit, providing a potential experimental signature of nonlocality. ABSTRACT In a previous paper we derived an uncertainty relation for nonlocal fields by showing that the physical localization
E. J. Thompson
wiley +1 more source
Multiplex networks provide a powerful data structure for capturing diverse relationships among nodes, and the challenge of community detection within these networks has recently attracted considerable attention.
Fengqin Tang +3 more
doaj +1 more source
Endmember Independence and Bilateral Filtering Regularizations for Blind Hyperspectral Unmixing
Hyperspectral unmixing (HU) aims to decompose the mixed pixels of a hyperspectral image into endmembers weighted by their corresponding abundances. Recently, matrix–vector nonnegative tensor factorization (MV-NTF) has been successfully applied to ...
Yang Hu, Lei Sun, Ziyang Zhang, Feng Xie
doaj +1 more source

