Seuraa
Gowri Suryanarayana
Gowri Suryanarayana
Researcher, VITO
Vahvistettu sähköpostiosoite verkkotunnuksessa vito.be
Nimike
Viittaukset
Viittaukset
Vuosi
Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods
G Suryanarayana, J Lago, D Geysen, P Aleksiejuk, C Johansson
Energy 157, 141-149, 2018
1402018
Optimal flexibility dispatch problem using second-order cone relaxation of AC power flows
SS Torbaghan, G Suryanarayana, H Höschle, R D'hulst, F Geth, C Caerts, ...
IEEE Transactions on Power Systems 35 (1), 98-108, 2019
442019
Multilevel Monte Carlo simulation for Lévy processes based on the Wiener–Hopf factorisation
A Ferreiro-Castilla, AE Kyprianou, R Scheichl, G Suryanarayana
Stochastic Processes and their Applications 124 (2), 985-1010, 2014
392014
Tent-transformed lattice rules for integration and approximation of multivariate non-periodic functions
R Cools, FY Kuo, D Nuyens, G Suryanarayana
Journal of Complexity 36, 166-181, 2016
292016
A data driven method for optimal sensor placement in multi-zone buildings
G Suryanarayana, J Arroyo, L Helsen, J Lago
Energy and Buildings 243, 110956, 2021
172021
Optimal control strategies for seasonal thermal energy storage systems with market interaction
J Lago, G Suryanarayana, E Sogancioglu, B De Schutter
IEEE Transactions on Control Systems Technology 29 (5), 1891-1906, 2020
142020
Reconstruction and collocation of a class of non-periodic functions by sampling along tent-transformed rank-1 lattices
G Suryanarayana, D Nuyens, R Cools
Journal of Fourier Analysis and Applications 22, 187-214, 2016
142016
A market framework for grid balancing support through imbalances trading
J Lago, K Poplavskaya, G Suryanarayana, B De Schutter
Renewable and Sustainable Energy Reviews 137, 110467, 2021
122021
Rank-1 lattice rules for multivariate integration in spaces of permutation-invariant functions: Error bounds and tractability
D Nuyens, G Suryanarayana, M Weimar
Advances in Computational Mathematics 42, 55-84, 2016
102016
Building day-ahead bidding functions for seasonal storage systems: A reinforcement learning approach
J Lago, E Sogancioglu, G Suryanarayana, F De Ridder, B De Schutter
IFAC-PapersOnLine 52 (4), 488-493, 2019
62019
Strang Splitting in Combination with Rank-1 and Rank-r Lattices for the Time-Dependent Schrödinger Equation
Y Suzuki, G Suryanarayana, D Nuyens
SIAM Journal on Scientific Computing 41 (6), B1254-B1283, 2019
52019
Construction of quasi-Monte Carlo rules for multivariate integration in spaces of permutation-invariant functions
D Nuyens, G Suryanarayana, M Weimar
Constructive Approximation 45, 311-344, 2017
52017
Approximation in cosine space using tent transformed lattice rules
D Nuyens, G Suryanarayana, R Cools, FY Kuo
2014, Slides of talk given at ICERM Semester Program, 2014
32014
Rank-1 lattices and Strang splitting for the time-dependent Schrödinger equation
Y Suzuki, G SURYANARAYANA, D Nuyens
Workshop on High-Dimensional Approximation (HDA2017), Date: 2017/02/13-2017 …, 2017
22017
Advanced Quasi-Monte Carlo Algorithms for High-dimensional Integration and Approximation
G Suryanarayana
22016
Integration of permutation invariant functions
G Suryanarayana, D Nuyens, M Weimar
International Conference on Monte Carlo and Quasi-Monte Carlo Methods in …, 2016
12016
Quasi Monte-Carlo methods for the TDSE (Time dependent Schrödinger equation)
G Suryanarayana, D Nuyens, R Cools
IAP DYSCO Study Day: Dynamical systems, control and optimization, Date: 2015 …, 2015
12015
Approximation with lattice points
D Nuyens, G Suryanarayana, R Cools, FY Kuo
Dagstuhl Seminar on Algorithms and Complexity for Continuous Problems, Date …, 2015
12015
On lattice rules, approximation and Lebesgue constants
R Cools, D Nuyens, G Suryanarayana
Dagstuhl Seminar on Algorithms and Complexity for Continuous Problems, Date …, 2015
12015
Integration and approximation in cosine space
R Cools, F Kuo, D Nuyens, G Suryanarayana
Tenth IMACS Seminar on Monte Carlo Methods, Date: 2015/07/06-2015/07/10 …, 2015
12015
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Artikkelit 1–20