3 papers
eess.SP2019
Electricity Consumption Forecasting for Smart Grid using the Multi-Factor Back-Propagation Neural Network
Hao Song, Yu Chen, Ning Zhou +1
With the development of modern information technology (IT), a smart grid has become one of the major components of smart cities. To take full advantage of the smart grid, the capab…
eess.SP2019
PReS: Power Peak Reduction by Real-time Scheduling for Urban Railway Transit
Zekun Yang, Yu Chen, Ning Zhou +1
Railway transportation is one of the most popular options for Urban Massive Transportation Systems (UMTS) because of many attractive features. A robust electric power supply is ess…
cs.NI2018
A Novel PMU Fog based Early Anomaly Detection for an Efficient Wide Area PMU Network
Zekun Yang, Ning Chen, Yu Chen +1
Based on phasor measurement units (PMUs), a synchronphasor system is widely recognized as a promising smart grid measurement system. It is able to provide high-frequency, high-accu…