Ruyi Zhang

Dr. Ruyi Zhang

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
25 December 2025 in Remote Sensing
Verified
Journal Article
Open access
PDF file
RZRuyi Zhang
Ruyi Zhang
YYYi Yang
Yi Yang
ZLZhuoxuan Li
Zhuoxuan Li
LPLi Peixuan
Li Peixuan
HWHaipeng Wang
Haipeng Wang
Remote sensing technology has become an indispensable core means for Earth observation. As two of the most commonly used remote sensing modalities, the fusion of optical and synthetic aperture radar (SAR) (OPT-SAR fusion) can effectively overcome the limitations of a single data source, achieve information complementarity and synergistic enhancement, thereby significantly improving the interpretation capability of multi-source remote sensing data. This paper first discusses the necessity of OPT-SAR fusion, systematically reviews the historical development of fusion technologies, and summarizes open-source resources for various tasks, aiming to provide a reference for related research. Finally, building upon recent advances in OPT-SAR fusion research and cutting-edge developments in deep learning, this paper proposes that future fusion technologies should develop in the following directions: interpretable fusion models driven by both data and knowledge, general fusion perception driven by multimodal large models, and lightweight architectures with efficient deployment strategies.

19 October 2023 in IEEE Transactions on Power Systems
Verified
Journal Article
Closed access
ZQZhiyuan Qi
Zhiyuan Qi
RZRuyi Zhang
Ruyi Zhang
Micro-grid combined heat and power (MCHP) can supply thermal energy and electricity simultaneously with high efficiency. The coordinated scheduling of MCHP can effectively ensure reliable energy supply and improve economic efficiency. This study proposes a coordinated scheduling strategy integrated dynamic feedback correction and virtual penalty cost to realize economics and stability of MCHP. A two-layer scheduling framework is adopted. In short-term scheduling, a dynamic feedback correction method is employed for micro gas turbine(MGT) and battery avoiding frequent startup and stop or long-term operation in lower power. In ultra-short-term scheduling, a virtual penalty cost method is suggested to balance the power deviations caused by renewable energy fluctuation. The virtual penalty acts to select the MGT or battery compensating for exceeded power. Ultra-short-term scheduling is adjusted around short-term scheduling results, and the two schemes are effectively connected via power constraints. Wind power abandonment is punished to increase renewable energy utilization. The coordinated scheduling results for MCHP demonstrate that the proposed method avoids the MGT frequent switching between startup and stop. The operation time and fuel consumption of the MGT are also significantly decreased. Moreover, the MGT and battery are adjusted reasonably maintaining energy balance, significantly reducing the operating cost of the MCHP.