Cikkek nyilvánosan hozzáférhető megbízással - Yuxun ZhouTovábbi információ
Sehol sem hozzáférhető: 10
WinLight: A WiFi-based occupancy-driven lighting control system for smart building
H Zou, Y Zhou, H Jiang, SC Chien, L Xie, CJ Spanos
Energy and Buildings 158, 924-938, 2018
Megbízások: National Natural Science Foundation of China
Fault detection and diagnosis for building cooling system with a tree-structured learning method
D Li, Y Zhou, G Hu, CJ Spanos
Energy and Buildings 127, 540-551, 2016
Megbízások: National Research Foundation, Singapore
Adaptive localization in dynamic indoor environments by transfer kernel learning
H Zou, Y Zhou, H Jiang, B Huang, L Xie, C Spanos
2017 IEEE wireless communications and networking conference (WCNC), 1-6, 2017
Megbízások: National Natural Science Foundation of China
Optimal sensor configuration and feature selection for AHU fault detection and diagnosis
D Li, Y Zhou, G Hu, CJ Spanos
IEEE Transactions on Industrial Informatics 13 (3), 1369-1380, 2016
Megbízások: National Research Foundation, Singapore
Nonparametric event detection in multiple time series for power distribution networks
Y Zhou, R Arghandeh, H Zou, CJ Spanos
IEEE Transactions on Industrial Electronics 66 (2), 1619-1628, 2018
Megbízások: US National Science Foundation, National Research Foundation, Singapore
Online learning of contextual hidden markov models for temporal-spatial data analysis
Y Zhou, R Arghandeh, CJ Spanos
2016 IEEE 55th Conference on Decision and Control (CDC), 6335-6341, 2016
Megbízások: National Research Foundation, Singapore
Fast identification of vulnerable set for cascading failure analysis in power grid
S He, Y Zhou, Y Zhou, J Wu, M Zheng, T Liu
IEEE Transactions on Industrial Informatics 19 (4), 5645-5655, 2022
Megbízások: National Natural Science Foundation of China
Learning convex piecewise linear machine for data-driven optimal control
Y Zhou, B Jin, CJ Spanos
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
Megbízások: National Research Foundation, Singapore
On a class of multi-parametric quadratic programming and its applications to machine learning
Y Zhou, CJ Spanos
2016 IEEE 55th conference on decision and control (CDC), 2826-2833, 2016
Megbízások: National Research Foundation, Singapore
Data Protection Method Against Cross-Domain Inference Threat in Cyber–Physical Power Grid
B Hu, Y Zhou, Y Zhou, J Wu, T Liu, X Guan
IEEE Transactions on Smart Grid 15 (4), 4170-4181, 2024
Megbízások: National Natural Science Foundation of China
Valahol hozzáférhető: 13
Partial knowledge data-driven event detection for power distribution networks
Y Zhou, R Arghandeh, CJ Spanos
IEEE Transactions on Smart Grid 9 (5), 5152-5162, 2017
Megbízások: US National Science Foundation
Design automation for smart building systems
R Jia, B Jin, M Jin, Y Zhou, IC Konstantakopoulos, H Zou, J Kim, D Li, ...
Proceedings of the IEEE 106 (9), 1680-1699, 2018
Megbízások: US Department of Defense, National Research Foundation, Singapore
Abnormal event detection with high resolution micro-PMU data
Y Zhou, R Arghandeh, I Konstantakopoulos, S Abdullah, A von Meier, ...
2016 Power Systems Computation Conference (PSCC), 1-7, 2016
Megbízások: US Department of Energy
Causal Markov Elman network for load forecasting in multinetwork systems
LMK Sriram, M Gilanifar, Y Zhou, EE Ozguven, R Arghandeh
IEEE Transactions on Industrial Electronics 66 (2), 1434-1442, 2018
Megbízások: US National Science Foundation, US Department of Energy
Combined electricity and traffic short-term load forecasting using bundled causality engine
J Cordova, LMK Sriram, A Kocatepe, Y Zhou, EE Ozguven, R Arghandeh
IEEE Transactions on Intelligent Transportation Systems 20 (9), 3448-3458, 2018
Megbízások: US National Science Foundation
Identifying unseen faults for smart buildings by incorporating expert knowledge with data
D Li, Y Zhou, G Hu, CJ Spanos
IEEE Transactions on Automation Science and Engineering 16 (3), 1412-1425, 2018
Megbízások: National Research Foundation, Singapore
Shape preserving incremental learning for power systems fault detection
J Cordova, C Soto, M Gilanifar, Y Zhou, A Srivastava, R Arghandeh
IEEE control systems letters 3 (1), 85-90, 2018
Megbízások: US Department of Energy, European Commission
Bayesian spatiotemporal gaussian process for short-term load forecasting using combined transportation and electricity data
M Gilanifar, H Wang, EE Ozguven, Y Zhou, R Arghandeh
ACM Transactions on Cyber-Physical Systems 4 (1), 1-25, 2019
Megbízások: US National Science Foundation
Data-driven event detection with partial knowledge: A hidden structure semi-supervised learning method
Y Zhou, R Arghandeh, I Konstantakopoulos, S Abdullah, CJ Spanos
2016 American Control Conference (ACC), 5962-5968, 2016
Megbízások: National Research Foundation, Singapore
Shape-based data analysis for event classification in power systems
J Cordova, R Arghandeh, Y Zhou, S Wesolowski, W Wu, S Matthias
2017 IEEE Manchester PowerTech, 1-6, 2017
Megbízások: US National Science Foundation
A publikációs és a finanszírozási adatokat számítógépes program határozza meg, automatikusan.