242 citations · 1.3k across the 18 of their papers we have counts for
7 papers · 1 filter
Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting
Yanmei Huang, Najmul Hasan, Changrui Deng +1
Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also has a great interest to investors and energy policy maker as well as government. Literat…
Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction
Siyue Yang, Yukun Bao
Epidemics of influenza are major public health concerns. Since influenza prediction always relies on the weekly clinical or laboratory surveillance data, typically the weekly Influ…
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks
Xinze Zhang, Kun He, Yukun Bao
Despite the superiority of convolutional neural networks demonstrated in time series modeling and forecasting, it has not been fully explored on the design of the neural network ar…
Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue
Zhongyi Hu, Raymond Chiong, Ilung Pranata +2
Purpose: Malicious web domain identification is of significant importance to the security protection of Internet users. With online credibility and performance data, this paper aim…
Interval Forecasting of Electricity Demand: A Novel Bivariate EMD-based Support Vector Regression Modeling Framework
Tao Xiong, Yukun Bao, Zhongyi Hu
Highly accurate interval forecasting of electricity demand is fundamental to the success of reducing the risk when making power system planning and operational decisions by providi…
Multi-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression
Yukun Bao, Tao Xiong, Zhongyi Hu
Accurate time series prediction over long future horizons is challenging and of great interest to both practitioners and academics. As a well-known intelligent algorithm, the stand…
A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization
Yukun Bao, Zhongyi Hu, Tao Xiong
Addressing the issue of SVMs parameters optimization, this study proposes an efficient memetic algorithm based on Particle Swarm Optimization algorithm (PSO) and Pattern Search (PS…