Zobrazeno 1 - 10
of 7 806
pro vyhledávání: '"LI Can"'
Publikováno v:
电力工程技术, Vol 43, Iss 5, Pp 170-180 (2024)
Against the backdrop of rapid growth in electric vehicle holdings, there is a growing demand for the construction of electric vehicle (EV) charging stations. To improve the charging station operation economy, an optimal scheduling method of EV chargi
Externí odkaz:
https://doaj.org/article/3e1f30cf35434feea3908064d4c317e3
Publikováno v:
Dianxin kexue, Vol 40, Pp 121-130 (2024)
The bidirectional DC-DC converter was selected as the research object. Based on the connection topology of energy storage and consumption components in the hybrid energy storage system, power demand indicators were determined for different energy flo
Externí odkaz:
https://doaj.org/article/9e9d62e233494bd797c30cba03e3f037
Multiplexing in photonics as a resource for optical ternary content-addressable memory functionality
Autor:
London Yanir, Van Vaerenbergh Thomas, Ramini Luca, Descos Antoine, Buonanno Luca, Youn Jinsung, Li Can, Graves Catherine E., Fiorentino Marco, Beausoleil Raymond G.
Publikováno v:
Nanophotonics, Vol 12, Iss 22, Pp 4137-4155 (2023)
In this paper, we combine a Content-Addressable Memory (CAM) encoding scheme previously proposed for analog electronic CAMs (E-CAMs) with optical multiplexing techniques to create two new photonic CAM architectures—wavelength-division multiplexing
Externí odkaz:
https://doaj.org/article/e35bad731e6647f780b6e7b40ba93f8e
Publikováno v:
Redai dili, Vol 43, Iss 7, Pp 1426-1439 (2023)
China is currently facing a critical period of economic transformation and social development, with land use being under tremendous pressure, facing multiple challenges. The imbalance in land use structure is becoming increasingly prominent and confl
Externí odkaz:
https://doaj.org/article/6075ca2126894e91b3a9dd0538602f98
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract In order to improve the measuring accuracy of the Hemispherical Resonator Gyro under variable temperature, aiming at the problem of "external temperature is unavailable and internal temperature is unmeasurable," a multiple regression based m
Externí odkaz:
https://doaj.org/article/9e74e2072a134a638da3d843aaa27c3c
Publikováno v:
Measurement Science Review, Vol 22, Iss 6, Pp 275-282 (2022)
The information fusion problem is studied for multi-sensor systems in the presence of bounded disturbances. In this paper, a distributed fusion estimation algorithm is proposed based on the set-membership theory, which obtains the overall estimates b
Externí odkaz:
https://doaj.org/article/248d06387a7e4b64b49159deddb154f2
Publikováno v:
智慧农业, Vol 4, Iss 1, Pp 121-129 (2022)
Plant hormone Abscisic Acid (ABA) plays an important role in regulating plant growth. However, the content of ABA in plant tissues is very low, and rapid and sensitive detection methods are urgently needed. In this study, a rapid and quantitative ABA
Externí odkaz:
https://doaj.org/article/d86c13da133a4622b5f5945c4ecd63ff
Autor:
Mollaali, Amirhossein, Zufferey, Gabriel, Constante-Flores, Gonzalo, Moya, Christian, Li, Can, Lin, Guang, Yue, Meng
This paper proposes a new data-driven methodology for predicting intervals of post-fault voltage trajectories in power systems. We begin by introducing the Quantile Attention-Fourier Deep Operator Network (QAF-DeepONet), designed to capture the compl
Externí odkaz:
http://arxiv.org/abs/2410.24162
In scenarios with limited training data or where explainability is crucial, conventional neural network-based machine learning models often face challenges. In contrast, Bayesian inference-based algorithms excel in providing interpretable predictions
Externí odkaz:
http://arxiv.org/abs/2410.19356
This paper presents a parametric quadratic approximation of the AC optimal power flow (AC-OPF) problem for time-sensitive and market-based applications. The parametric approximation preserves the physics-based but simple representation provided by th
Externí odkaz:
http://arxiv.org/abs/2410.18413