Results 1 to 10 of about 88,361 (282)
Dual-model approach for concurrent forecasting of electricity prices and loads in smart grids: Comparison of sparse encoder NAR and GA-optimized LSTM. [PDF]
PLoS ONEAccurate forecasting of electricity prices and loads is challenging in smart grids due to the strong interdependence between load and price. To address this, we propose two deep recurrent neural network models that forecast both load and price ...
Nasir Nauman +5 more
doaj +2 more sources
UNCERTAINTY QUANTIFICATION IN STEADY STATE SIMULATIONS OF A MOLTEN SALT SYSTEM USING POLYNOMIAL CHAOS EXPANSION ANALYSIS [PDF]
EPJ Web of Conferences, 2021 Uncertainty Quantification (UQ) of numerical simulations is highly relevant in the study and design of complex systems. Among the various approaches available, Polynomial Chaos Expansion (PCE) analysis has recently attracted great interest. It belongs to
Santanoceto Mario +4 more
doaj +1 more source
Sparse Grid Adaptive Interpolation in Problems of Modeling Dynamic Systems with Interval Parameters
Mathematics, 2021 The paper is concerned with the issues of modeling dynamic systems with interval parameters. In previous works, the authors proposed an adaptive interpolation algorithm for solving interval problems; the essence of the algorithm is the dynamic ...
Alexander Yu Morozov +2 more
doaj +1 more source
Spherical Grid Creation and Modeling Using the Galerkin Compiler GC_Sphere
Atmosphere, 2023 The construction of spherical grids is, to a large extent, a question of organized programming. Such grids come in the form of rhomboidal/triangular grids and hexagonal grids.
Jürgen Steppeler
doaj +1 more source
Adaptive Sparse Grids with Nonlinear Basis in Interval Problems for Dynamical Systems
Computation, 2023 Problems with interval uncertainties arise in many applied fields. The authors have earlier developed, tested, and proved an adaptive interpolation algorithm for solving this class of problems.
Alexander Yu. Morozov +1 more
doaj +1 more source
A global geographic grid system for visualizing bathymetry [PDF]
Geoscientific Instrumentation, Methods and Data Systems, 2020 A global geographic grid system (Global GGS) is here introduced to support the display of gridded bathymetric data at whatever resolution is available in a visually seamless manner.
C. Ware +4 more
doaj +1 more source
Off-Grid sparse blind sensor calibration [PDF]
2018 26th Signal Processing and Communications Applications Conference (SIU), 2018 Compressive Sensing (CS) based techniques generally discretize the signal space and assume that the signal is sparse and has support only on the discretized grid points. Due to continuous nature of the signals, representing the signal on a discretized grid results in the off-grid problem.
Yetik, İmam Şamil +2 more
openaire +3 more sources
Adaptive sparse-grid Gauss–Hermite filter [PDF]
Journal of Computational and Applied Mathematics, 2018 In this paper, a new nonlinear filter based on sparse-grid quadrature method has been proposed. The proposed filter is named as adaptive sparse-grid Gauss-Hermite filter (ASGHF). Ordinary sparse-grid technique treats all the dimensions equally, whereas the ASGHF assigns a fewer number of points along the dimensions with lower nonlinearity.
Abhinoy Kumar Singh +3 more
openaire +4 more sources
Frontiers in Signal Processing, 2022 Conventional individual head-related transfer function (HRTF) measurements are demanding in terms of measurement time and equipment. For more flexibility, free body movement (FBM) measurement systems provide an easy-to-use way to measure full-spherical ...
David Bau +3 more
doaj +1 more source
Shock and Vibration, 2021 For the vibro-acoustic system with interval and random uncertainties, polynomial chaos expansions have received broad and persistent attention. Nevertheless, the cost of the computation process increases sharply with the increasing number of uncertain ...
Shengwen Yin, Xiaohan Zhu, Xiang Liu
doaj +1 more source