Παρακολούθηση
Rishi Relan
Rishi Relan
Head of Engineering and R&D - Storage | Digital Twin Expert Siemens Energy, India
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα siemens.com - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Characterizing the energy flexibility of buildings and districts
RG Junker, AG Azar, RA Lopes, KB Lindberg, G Reynders, R Relan, ...
Applied energy 225, 175-182, 2018
4322018
Prognostics of gas turbine engine: An integrated approach
MA Zaidan, R Relan, AR Mills, RF Harrison
Expert Systems with Applications 42 (22), 8472-8483, 2015
572015
Data-driven nonlinear identification of Li-ion battery based on a frequency domain nonparametric analysis
R Relan, Y Firouz, JM Timmermans, J Schoukens
IEEE Transactions on control systems technology 25 (5), 1825-1832, 2016
462016
Advanced lithium ion battery modeling and nonlinear analysis based on robust method in frequency domain: Nonlinear characterization and non-parametric modeling
Y Firouz, R Relan, JM Timmermans, N Omar, P Van Den Bossche, ...
Energy 106, 602-617, 2016
382016
Exploring non-linear associations between atmospheric new-particle formation and ambient variables: a mutual information approach
MA Zaidan, V Haapasilta, R Relan, P Paasonen, VM Kerminen, ...
Atmospheric Chemistry and Physics 18 (17), 12699-12714, 2018
262018
Predicting atmospheric particle formation days by Bayesian classification of the time series features
MA Zaidan, V Haapasilta, R Relan, H Junninen, PP Aalto, M Kulmala, ...
Tellus B: Chemical and Physical Meteorology, 2018
252018
An Unstructured Flexible Nonlinear Model for the Cascaded Water-tanks Benchmark
R Relan, K Tiels, A Marconato, J Schoukens
IFAC-PapersOnLine 50 (1), 452-457, 2017
212017
Unsupervised sorting of retinal vessels using locally consistent Gaussian mixtures
D Relan, R Relan
Computer methods and programs in biomedicine 199, 105894, 2021
112021
Designing Individual Penalty Signals for Improved Energy Flexibility Utilisation
RG Junker, R Relan, H Madsen
IFAC-PapersOnLine 52 (4), 123-128, 2019
92019
Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record
R Relan, K Tiels, A Marconato, P Dreesen, J Schoukens
Mechanical Systems and Signal Processing 104, 929-943, 2018
92018
Nonparametric analysis of the short-term electrical response of li-ion battery cells
R Relan, Y Firouz, L Vanbeylen, JM Timmermans, J Schoukens
2016 Indian Control Conference (ICC), 1-6, 2016
92016
A Stochastic Spatio-Temporal Model of the Flow-Front Dynamics in a Vacuum Assisted Resin Transfer Moulding Process
M Nauheimer, R Relan, UH Thygesen, H Madsen, B Olesen, K Kirkeby, ...
IFAC-PapersOnLine 51 (15), 383-388, 2018
82018
Discrete Time Approximation of Continuous Time Nonlinear State Space Models
J Schoukens, R Relan, M Schoukens
IFAC-PapersOnLine 50 (1), 8339-8346, 2017
82017
Recursive discrete-time models for continuous-time systems under band-limited assumptions
R Relan, J Schoukens
IEEE Transactions on Instrumentation and Measurement 65 (3), 713-723, 2016
82016
A local polynomial approach to nonparametric estimation of the best linear approximation of lithium-ion battery from multiple datasets
R Relan, K Tiels, JM Timmermans, J Schoukens
IEEE control systems letters 1 (1), 182-187, 2017
72017
Multiscale self-quotient filtering for an improved unsupervised retinal blood vessels characterisation
D Relan, R Relan
Biomedical Engineering Letters, 1-10, 2017
62017
Characterization and nonlinear modelling of Li-Ion battery
R Relan, L Vanbeylen, Y Firouz, J Schoukens
34th Benelux Meeting on Systems and Control, 2015
52015
Physical-stochastic continuous-time identification of a forced Duffing oscillator
RG Junker, R Relan, H Madsen
ISA transactions 126, 226-234, 2022
42022
Estimation of a Stochastic Spatio-temporal Model of the Flow-front Dynamics with Varying Parameters
M Nauheimer, R Relan, UH Thygesen, H Madsen
The 9th Conference on "Times of Polymers (TOP) & Composites", Ischia - Italy, 2018
42018
Neural network classifier on time series features for predicting atmospheric particle formation days
MA Zaidan, V Haapsilta, R Relan, H Junninen, P Aalto, FF Canova, ...
The 20th international conference on nucleation and atmospheric aerosols …, 2017
42017
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