ePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Browsing publications by Yang Quek

Newcastle Authors	Title	Year	Full text
Yang Quek Dr Wai Lok Woo	IoT Load Classification and Anomaly Warning in ELV DC Picogrids Using Hierarchical Extended {k} -Nearest Neighbors	2020
Yang Quek Dr Wai Lok Woo Dr Thillainathan Logenthiran	Load Disaggregation Using One-Directional Convolutional Stacked Long Short-Term Memory Recurrent Neural Network	2020
Yang Quek Dr Wai Lok Woo Dr Thillainathan Logenthiran	A low cost master and slave distributed intelligent meter for non-intrusive load classification and anomaly warning	2018
Yang Quek Dr Wai Lok Woo Dr Thillainathan Logenthiran	Anomaly Warning and Fault Detection in DC Pico-grid with enhanced k-Nearest Neighbours Technique	2018
Yang Quek Dr Wai Lok Woo Dr Thillainathan Logenthiran	A Naïve Bayes Classification Approach for Short-Term Forecast of a Photovoltaic System	2017
Yang Quek Dr Wai Lok Woo Dr Thillainathan Logenthiran	A Very Short-Term Energy Forecasting Technique for Small Scale Photovoltaic Systems using k-Nearest Neighbour Algorithm	2017
Yang Quek Dr Wai Lok Woo Dr Thillainathan Logenthiran	DC equipment identification using K-means clustering and kNN classification techniques	2017
Yang Quek Dr Wai Lok Woo Dr Thillainathan Logenthiran	Smart Sensing of Loads in an Extra Low Voltage DC Pico-grid using Machine Learning Techniques	2017
Yang Quek Dr Wai Lok Woo Dr Thillainathan Logenthiran	A multilevel threshold detection method for single-sensor multiple DC appliance states sensing	2016
Yang Quek Dr Wai Lok Woo Dr Thillainathan Logenthiran	DC appliance classification and identification using k-Nearest Neighbours technique on features extracted within the 1st second of current waveforms	2015