Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Rafael E. Carrillo"'
Publikováno v:
Batteries, Vol 8, Iss 11, p 204 (2022)
Accurate state of health (SoH) estimation is crucial to optimize the lifetime of Li-ion cells while ensuring safety during operations. This work introduces a methodology to track Li-ion cells degradation and estimate SoH based on electrochemical impe
Externí odkaz:
https://doaj.org/article/99fe58f4eab7418aaf6264bc37fa07b9
Autor:
Rafael E. Carrillo, Antonis Peppas, Yves Stauffer, Chrysa Politi, Tomasz Gorecki, Pierre-Jean Alet
Publikováno v:
Energies, Vol 15, Iss 16, p 5887 (2022)
The increasing penetration of renewable energy sources creates a challenge for the stability of current power systems due to their intermittent and stochastic nature. This paper presents the field results of an efficient demand response solution for
Externí odkaz:
https://doaj.org/article/e9c503d42d984f60b1a0d7eef41f2882
Autor:
Rafael E. Carrillo, Martin Leblanc, Baptiste Schubnel, Renaud Langou, Cyril Topfel, Pierre-Jean Alet
Publikováno v:
Energies, Vol 13, Iss 21, p 5763 (2020)
Operating power systems with large amounts of renewables requires predicting future photovoltaic (PV) production with fine temporal and spatial resolution. State-of-the-art techniques combine numerical weather predictions with statistical post-proces
Externí odkaz:
https://doaj.org/article/1cfeaa05accf44219f828d016c7aa889
Autor:
Paolo Taddeo, Alba Colet, Rafael E. Carrillo, Lluc Casals Canals, Baptiste Schubnel, Yves Stauffer, Ivan Bellanco, Cristina Corchero Garcia, Jaume Salom
Publikováno v:
Energies, Vol 13, Iss 5, p 1188 (2020)
The electricity sector foresees a significant change in the way energy is generated and distributed in the coming years. With the increasing penetration of renewable energy sources, smart algorithms can determine the difference about how and when ene
Externí odkaz:
https://doaj.org/article/303c580be029401bb7834ae964ec2a2d
Publikováno v:
World Electric Vehicle Journal, Vol 10, Iss 4, p 63 (2019)
As a result of monitoring thousands of electric vehicle charges around Europe, this study builds statistical distributions that model the amount of energy necessary for trips between charges, showing that most of trips are within the range of electri
Externí odkaz:
https://doaj.org/article/11a69a1bb55548efa8e159545828d208
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
Externí odkaz:
https://doaj.org/article/caa1c1311b2e481d9d058089202f15e8
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 32:4096-4110
We present a three-step method to perform system identification and optimal control of non-linear systems. Our approach is mainly data driven and does not require active excitation of the system to perform system identification. In particular, it is
Publikováno v:
2022 IEEE Power & Energy Society General Meeting (PESGM).
Accurate forecasting of solar power generation with fine temporal and spatial resolution is vital for the operation of the power grid. However, state-of-the-art approaches that combine machine learning with numerical weather predictions (NWP) have co
Publikováno v:
Applied Energy. 327:120127
Accurate forecasting of photovoltaic (PV) and wind production is crucial for the integration of more renewable energy sources into the power grid. To address the limited resolution and costs of methods based on numerical weather predictions (NWP), we
A new method for accurate indirect heat accounting in apartment buildings has been recently developed by the Centre Suisse d'Electronique et de Microtechnique (CSEM). It is based on a data driven approach aimed to the smart networking of any type of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fbc1f2cb42e4329d60e5024db6af710