Zobrazeno 1 - 10
of 386
pro vyhledávání: '"J Szczupak"'
Autor:
Liu, Daohang1 (AUTHOR) dhliu@cdutcm.edu.cn, Zhu, Yizhun1,2 (AUTHOR) yzzhu@must.edu.mo
Publikováno v:
Cells (2073-4409). Dec2024, Vol. 13 Issue 23, p1969. 30p.
Publikováno v:
IEEE Transactions on Power Delivery. 20:2361-2369
The aim of this paper is to introduce a novel real-time digital signal processing technique for power quality disturbance detection. The proposed technique is inspired on the Divide and Conquer Principle and on the Innovation Concept. Essentially, th
Publikováno v:
Superconductor Science and Technology. 15:1259-1267
We present a two-dimensional deconvolution technique to estimate the original magnetic field from the flux measured by SQUID planar gradiometers. While modelling the gradiometer as a spatial filter, we use a pseudo-inverse filtering to perform the de
Publikováno v:
Superconductor Science and Technology. 12:949-952
Planar gradiometers can be modelled as two-dimensional spatial filters, taking into account area, baseline and shape of the coils. We associate a spatial frequency response with each configuration studied and show that planar gradiometers behave as b
Publikováno v:
Journal of Communication and Information Systems. 12:6-14
Autor:
J. Szczupak, L. Pinto
Publikováno v:
2013 12th International Conference on Environment and Electrical Engineering.
This paper proposes an evolutionary market framework for integrating renewables and electric vehicles through smart grids. At each time interval, a mathematical optimization model calculates locational marginal energy costs considering the possible s
Publikováno v:
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing. 41:709-717
In this paper, a new structure for the detection of sinusoids using adaptive IIR notch filters and multirate techniques is presented. By using the frequency enhancement property of the decimation in time process, the proposed structure avoids the use
Publikováno v:
2009 52nd IEEE International Midwest Symposium on Circuits and Systems.
This work introduces a new AI identification model, applied to the forecasting of Hydro-Climate series. Unlike most currently used models, based solely on the study of the historical data, this approach proposes the use of delayed “explaining” va
Autor:
D. Tortelli, M. Inoue, R. Semolini, Leontina Pinto, L.H. Macedo, J. Szczupak, J. Pascon, R. Massaro, E. Albarelli, C. Almeida
Publikováno v:
2009 IEEE Bucharest PowerTech.
This paper presents a novel model for the Load Forecast under uncertainty specially designed for markets under permanent evolution. The proposed approach does not rely on statistic models designed to reproduce the past. Instead, we make extensive use
Publikováno v:
2007 IEEE Lausanne Power Tech.
This work introduces a new procedure for software synchronization of electrical power signals collected over a large geographical area. The idea is to use not necessarily synchronized, but stable, local clocks, and synchronize the sparsely collected