Demand dispatch in cyber-physical load aggregation system with multilevel incentives

Autor: Lukun ZENG, Yi SUN, Xingjie ZHOU, Bin LI, Bing QI

Publikováno v: Journal of Modern Power Systems and Clean Energy, Vol 6, Iss 5, Pp 968-978 (2018)

Abstract This paper presents a demand dispatch strategy of aggregated electric water heaters (EWHs) for a load aggregation system at demand side, based on the theory of cyber-physical system. The objective is to solve the problem of water heater load

Externí odkaz: https://doaj.org/article/9cc38016fa314eda98464ee76132ba85

Regression model for civil aero-engine gas path parameter deviation based on deep domain-adaptation with Res-BP neural network

Autor: Minghang Zhao, Xuyun Fu, Xingjie Zhou, Shisheng Zhong

Publikováno v: Chinese Journal of Aeronautics, Vol 34, Iss 1, Pp 79-90 (2021)

The variations in gas path parameter deviations can fully reflect the healthy state of aero-engine gas path components and units; therefore, airlines usually take them as key parameters for monitoring the aero-engine gas path performance state and co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a20ae47718a5ea7c7d1c7bdd1a81ca77
https://doi.org/10.1016/j.cja.2020.08.051

Prediction for civil aero-engine performance after shop visit based on lazy support vector machine regression model

Autor: Xingjie Zhou, Shisheng Zhong, Xuyun Fu

Publikováno v: Journal of Prognostics and Health Management. 1:27-41

Through consideration of problems that the influence of the aero-engine state before shop visit and the adopted maintenance work scope on its performance after shop visit is complex and the sample size is small, we propose a lazy support vector machi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e598954cf5b81ae73c67f69cdbd9cdab
https://doi.org/10.22215/jphm.v1i1.1336

Summary of Tutorials at The Web Conference 2021

Autor: Allan Heydon, Benjamin Ricaud, Linjun Shou, Dmitry Ustalov, Yanick Schraner, George Yu, Daria Baidakova, Ly Dinh, Paul Groth, Mehrnoosh Sameki, Marinka Zitnik, Flavian Vasile, Krishnaram Kenthapadi, Benjamin Wollmer, Felix Gessert, Da-Cheng Juan, Hong Cheng, Javier Albert, David Rohde, Onur Celebi, Robert West, Xiang Wang, Dawei Yin, Amine Benhalloum, Junzhou Huang, Fuchun Sun, Michaël Defferrard, Ming Gong, Rezvaneh Rezapour, Levan Tsinadze, Shubhanshu Mishra, Stratis Ioannidis, Francisco M. Couto, Yicheng Fan, Xiangnan He, Christian Scheller, Yueqi Wang, Yu Rong, Pasquale Lisena, Sharada P. Mohanty, Nicolas Aspert, Irene Teinemaa, Chun-Ta Lu, Volodymyr Miz, Jiawei Chen, Johny Jose, Xiangyu Zhao, Philip Pham, Yatao Bian, Manuel K. Schneider, Jennifer G. Dy, Nashlie Sephus, Dmitri Goldenberg, Jiliang Tang, Fuli Feng, Wenbing Huang, Olivier Jeunen, Wenqi Fan, Nikita Popov, Mario Koenig, Shobeir Fakhraei, Olesia Altunina, Smriti Bhagat, Samin Aref, Chun-Sung Ferng, Wolfram Wingerath, Evann Courdier, Martin Müller, Xiubo Geng, Xingjie Zhou, Otmane Sakhi, Dragan Cvetinovic, Florian Laurent, Norbert Ritter, Cesar Ilharco Magalhaes, Stephan Succo, Jian Pei, Ben Packer, Tingyang Xu, Ilkay Yildiz, Rose Howell, Jana Diesner, Tudor Mihai Avram, Arjun Gopalan, Alexey Drutsa, Daxin Jiang, Albert Meroño-Peñuela, Christos Faloutsos

Publikováno v: The Web Conference 2021: companion of the World Wide Web Conference WWW 2021: April 19-23, 2021, Ljubljana, Slovenia
The Web Conference 2021
30th World Wide Web (WWW) Conference (WebConf), APR 19-23, 2021, ELECTR NETWORK
WEB CONFERENCE 2021: COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2021)

This report summarizes the 23 tutorials hosted at The Web Conference 2021: nine lecture-style tutorials and 14 hands-on tutorials.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db21f1ce6612200bda91f82be15d8cf
https://doi.org/10.1145/3442442.3453701

Regression Model for Civil Aero-engine Gas Path Parameter Deviations Based on Res-BP Neural Network

Autor: Shisheng Zhong, Minghang Zhao, Xingjie Zhou, Xuyun Fu

Publikováno v: 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).

The gas path parameter deviations as crucial parameters can assist each airline to realize the performance state trend analysis, life prediction and fault diagnosis of aero-engine. However, the calculation of gas path parameter deviations is complica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96d8571fe28ca091dd6288d8b1af9937
https://doi.org/10.1109/sdpc.2019.00042