Zobrazeno 1 - 10
of 961
pro vyhledávání: '"Martín, Pedro A"'
Neural Radiance Fields (NeRF) have revolutionized the field of 3D visual representation by enabling highly realistic and detailed scene reconstructions from a sparse set of images. NeRF uses a volumetric functional representation that maps 3D points
Externí odkaz:
http://arxiv.org/abs/2410.19459
Neural radiance fields (NeRF) are a groundbreaking computer vision technology that enables the generation of high-quality, immersive visual content from multiple viewpoints. This capability has significant advantages for applications such as virtual/
Externí odkaz:
http://arxiv.org/abs/2405.20078
This paper proposes a novel single-level robust mathematical approach to model the RES-only Virtual Power Plant (RVPP) bidding problem in the simultaneous Day Ahead Market (DAM) and Secondary Reserve Market (SRM). The worst-case profit of RVPP due to
Externí odkaz:
http://arxiv.org/abs/2403.02953
Autor:
Nemati, Hadi, Sánchez-Martín, Pedro, Ortega, Álvaro, Sigrist, Lukas, Lobato, Enrique, Rouco, Luis
In this paper, a novel approach to define the optimal bidding of renewable-only virtual power plants (RVPPs) in the day-ahead, secondary reserve, and intra-day markets is proposed. To this aim, a robust optimization algorithm is developed to account
Externí odkaz:
http://arxiv.org/abs/2402.12032
Publikováno v:
Entertainment Computing, Elsevier. 18. pp 79 to 92. (2017)
Videogames developed in the 1970s and 1980s were modest programs created in a couple of months by a single person, who played the roles of designer, artist and programmer. Since then, videogames have evolved to become a multi-million dollar industry.
Externí odkaz:
http://arxiv.org/abs/2402.04938
This short paper proposes a new database - NeRF-QA - containing 48 videos synthesized with seven NeRF based methods, along with their perceived quality scores, resulting from subjective assessment tests; for the videos selection, both real and synthe
Externí odkaz:
http://arxiv.org/abs/2305.03176
Autor:
Palenzuela, Nilo, Martín, Pedro Suárez
Publikováno v:
Guaraguao, 2024 Jan 01. 27(75), 96-108.
Externí odkaz:
https://www.jstor.org/stable/27295049
Autor:
Oladimeji, Oluwaseun, Ortega, Alvaro, Sigrist, Lukas, Sanchez-Martin, Pedro, Lobato, Enrique, Rouco, Luis
In this paper, an approach to evaluate the benefits of demand flexibility for Virtual Power Plants (VPPs) is presented. The flexible demands chosen in this study are part of a renewable energy source-based VPP that participates in Day-Ahead Market (D
Externí odkaz:
http://arxiv.org/abs/2112.03261
Autor:
Oladimeji, Oluwaseun, Ortega, Alvaro, Sigrist, Lukas, Rouco, Luis, Sanchez-Martin, Pedro, Lobato, Enrique
In this work, we present a detailed model of a Renewable Energy Source (RES)-based Virtual Power Plant (VPP) that participates in Day-Ahead Market (DAM) and Intra-Day Market (IDM) with dispatchable and non-dispatchable RESs and flexible demand assets
Externí odkaz:
http://arxiv.org/abs/2112.02200