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Forecasting energy consumption from smart home sensor network by deep learning Conference paper
Communications in Computer and Information Science
Authors:  Dey N.;  Fong S.;  Song W.;  Cho K.
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Deep learning  Energy prediction  IoT smart home  Time-series forecasting  
A novel forecasting method based on multi-order fuzzy time series and technical analysis Journal article
Information Sciences, 2016,Volume: 367-368,Page: 41-57
Authors:  Ye F.;  Zhang L.;  Zhang D.;  Fujita H.;  Gong Z.
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Financial Forecasting  Fuzzy Time Series  Genetic Algorithm  Technical Analysis  
Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting Journal article
IEEE Transactions on Sustainable Energy, 2015,Volume: 6,Issue: 4,Page: 1416
Authors:  Zhang C.-Y.;  Chen C.L.P.;  Gan M.;  Chen L.
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Deep Boltzmann Machine (Dbm)  Deep Learning  Time Series  Wind Speed Prediction  
Prediction of Major Earthquakes as Rare Events Using RF-Typed Polynomial Neural Networks Book chapter
出自: Encyclopedia of Information Science and Technology, Third Edition:IGI Global, 2015
Authors:  Fong, Simon;  Deb, Suash
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Neural Networks  Autoregressive Integrated Moving Average Model (Arima)  Time-series  Hurst Factor  Goodness-of-fit  Curve Fitting  
A Potential Method for Determining Nonlinearity in Wind Data Conference paper
IEEE Power and Energy Technology Systems Journal, USA, 2015
Authors:  MIN GAN;  HAN-XIONG LI;  C. L. PHILIP CHEN;  LONG CHEN
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Nonlinearity  Surrogate Data Test  Wind Forecasting  White Noise  
A forecasting method based on extrema mean empirical mode decomposition and wavelet neural network Conference paper
Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, Gdynia, Poland, 24-26 June 2015
Authors:  Pan J.;  Zheng X.;  Yang L.;  Wang Y.;  Yuan H.;  Tang Y.Y.
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Empirical Mode Decomposition  Forecasting  Wavelet Neural Network  
Adaptive Forecasting of Earthquake Time Series by Incremental Decision Tree Algorithm Journal article
Information (Japan), 2013,Volume: 16,Issue: 12,Page: 8387-8395
Authors:  Fong, Simon
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Adaptive Forecasting  Earthquake Prediction  Stream Mining  Time Series Forecasting  
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network Conference paper
Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012, Brussels, Belgium, 10-13 Dec. 2012
Authors:  Simon Fong;  Zhou Nannan;  Raymond K. Wong;  Xin-She Yang
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Data Pre-processing  Earthquake Prediction  Gmdh  Ground Ozone  Neural Network  Time Series Forecasting  
Short-term prediction of air pollution in macau using support vector machines Journal article
Journal of Control Science and Engineering, 2012,Volume: 2012
Authors:  Vong C.-M.;  Ip W.-F.;  Wong P.-K.;  Yang J.-Y.
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Effect of choice of kernel in support vector machines on ambient air pollution forecasting Conference paper
Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011, Macao, China, 8-10 June 2011
Authors:  Yang J.Y.;  Ip W.F.;  Vong C.M.;  Wong P.K.
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Pollution Level Forecasting  Support Vector Machines  Svm Kernel