Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Gowri, Suryanarayana"'
Autor:
Gowri Suryanarayana, Reinhilde D'hulst, Shahab Shariat Torbaghan, Frederik Geth, Hanspeter Höschle, Dirk Van Hertem, Chris Caerts
Publikováno v:
IEEE Transactions on Power Systems
The limited predictability and controlability of dis- tributed energy resources has resulted in an increasing need for managing the available demand side flexibility from proactive end-users. In this regard, distribution system operators are ex- pect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c86aa8ea13be84355097bd8e811e1f12
https://doi.org/10.1109/tpwrs.2019.2929845
https://doi.org/10.1109/tpwrs.2019.2929845
Publikováno v:
Energy and Buildings, 243
In this paper, we propose a data-driven methodology to identify the optimal placement of sensors in a multi-zone building. The proposed methodology is based on statistical tests that study the (in)dependence of measurements from various available sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c29c2ba4d1234075739242160c98e814
https://zenodo.org/record/5524474
https://zenodo.org/record/5524474
Publikováno v:
IEEE Transactions on Control Systems Technology, 29, 1891-1906
IEEE Transactions on Control Systems Technology, 29(5)
IEEE Transactions on Control Systems Technology, 29, 5, pp. 1891-1906
IEEE Transactions on Control Systems Technology, 29(5)
IEEE Transactions on Control Systems Technology, 29, 5, pp. 1891-1906
Seasonal thermal energy storage systems (STESSs) can shift the delivery of renewable energy sources and mitigate their uncertainty problems. However, to maximize the operational profit of STESSs and ensure their long-term profitability, control strat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca019b51d1a060a1348b14f1f10c3cf5
http://resolver.tudelft.nl/uuid:03a5aabc-d61f-4e25-b20c-4a7a56780ebc
http://resolver.tudelft.nl/uuid:03a5aabc-d61f-4e25-b20c-4a7a56780ebc
Building day-ahead bidding functions for seasonal storage systems: A reinforcement learning approach
Publikováno v:
IFAC-Papers
IFAC-PapersOnLine, 52(4)
IFAC-PapersOnLine, 52(4)
Due to the increasing integration of renewable sources in the electrical grid, electricity generation is expected to become more uncertain. In this context, seasonal thermal energy storage systems (STESSs) are key to shift the delivery of renewable e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a55b8746f4f4ffb6e8d8cdcf5c6f4bc
Publikováno v:
Renewable & Sustainable Energy Reviews, 137
To correct grid imbalances and avoid grid failures, the transmission system operator (TSO) deploys balancing reserves and settles these imbalances by penalizing the market actors that caused them. In several countries, it is forbidden to influence th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0eaa5f73fcc6b129e2fa0251244a6cb
https://doi.org/10.1016/j.rser.2020.110467
https://doi.org/10.1016/j.rser.2020.110467
We approximate the solution for the time dependent Schr\"odinger equation (TDSE) in two steps. We first use a pseudo-spectral collocation method that uses samples of functions on rank-1 or rank-r lattice points with unitary Fourier transforms. We the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f44eff18eed651d2db9341b1da072c64
http://arxiv.org/abs/1808.06357
http://arxiv.org/abs/1808.06357
The European Horizon 2020 project Flexible Heat and Power (H2020 FHP) investigates how to exploit the thermal inertia of buildings and their Heating Ventilation and Air-Conditioning (HVAC) systems as a source of flexibility to offer Demand Response (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1131::abe3c2489ac12cf5a655f3651ba9cc58
https://lirias.kuleuven.be/handle/123456789/625002
https://lirias.kuleuven.be/handle/123456789/625002
We study multivariate integration of functions that are invariant under the permutation (of a subset) of their arguments. Recently, in Nuyens, Suryanarayana, and Weimar [10] (Adv. Comput. Math. (2016), 42(1):55–84), the authors derived an upper est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9c991ba4e74d516add58320a27dac03
https://lirias.kuleuven.be/handle/123456789/558301
https://lirias.kuleuven.be/handle/123456789/558301
We develop algorithms for multivariate integration and approximation in the weighted half-period cosine space of smooth non-periodic functions. We use specially constructed tent-transformed rank-1 lattice points as cubature nodes for integration and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dc3fbb275f75c274b2cb9ffc5d3ad5c
Publikováno v:
Ferreiro-Castilla, A, Kyprianou, A E, Scheichl, R & Suryanarayana, G 2014, ' Multilevel Monte Carlo simulation for Lévy processes based on the Wiener–Hopf factorisation ', Stochastic Processes and their Applications, vol. 124, no. 2, pp. 985-1010 . https://doi.org/10.1016/j.spa.2013.09.015
In Kuznetsov et al. (2011) a new Monte Carlo simulation technique was introduced for a large family of Lévy processes that is based on the Wiener–Hopf decomposition. We pursue this idea further by combining their technique with the recently introd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ab2dacf02f432d56525c5db1df4f736
https://lirias.kuleuven.be/handle/123456789/426694
https://lirias.kuleuven.be/handle/123456789/426694