Deep Learning for Daily Peak Load Forecasting–A Novel Gated Recurrent Neural Network Combining Dynamic Time Warping
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Wenhu Tang | Zeyuan Yu | Zhewen Niu | Qinghua Wu | Wenhu Tang | Qinghua Wu | Zeyuan Yu | Z. Niu
[1] Q. Henry Wu,et al. Electric Load Forecasting Based on Locally Weighted Support Vector Regression , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[2] Paul H. Kupiec,et al. Techniques for Verifying the Accuracy of Risk Measurement Models , 1995 .
[3] Philip Heng Wai Leong,et al. A Hybrid Feature Selection and Generation Algorithm for Electricity Load Prediction Using Grammatical Evolution , 2013, 2013 12th International Conference on Machine Learning and Applications.
[4] Xiaobo Zhang,et al. Short-term electric load forecasting based on singular spectrum analysis and support vector machine optimized by Cuckoo search algorithm , 2017 .
[5] Tao Hong,et al. Long Term Probabilistic Load Forecasting and Normalization With Hourly Information , 2014, IEEE Transactions on Smart Grid.
[6] Ming-Wei Chang,et al. Load forecasting using support vector Machines: a study on EUNITE competition 2001 , 2004, IEEE Transactions on Power Systems.
[7] Juho Kim,et al. Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras , 2017, ArXiv.
[8] Andrew W. Senior,et al. Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition , 2014, ArXiv.
[9] R. H. Myers,et al. Probability and Statistics for Engineers and Scientists , 1978 .
[10] Lior Wolf,et al. Channel-Level Acceleration of Deep Face Representations , 2015, IEEE Access.
[11] Heng Huang,et al. Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities , 2015, IEEE Transactions on Smart Grid.
[12] Danladi Ali,et al. Long-term load forecast modelling using a fuzzy logic approach , 2016 .
[13] Antonello Rizzi,et al. Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition , 2015, IEEE Access.
[14] Gafar Zen Alabdeen Salh,et al. Voice Recognition using Dynamic Time Warping and Mel-Frequency Cepstral Coefficients Algorithms , 2015 .
[15] Ying Chen,et al. Short-Term Load Forecasting: Similar Day-Based Wavelet Neural Networks , 2010, IEEE Transactions on Power Systems.
[16] Iñigo Monedero,et al. Detection of frauds and other non-technical losses in a power utility using Pearson coefficient, Bayesian networks and decision trees , 2012 .
[17] Fernando Santos Osório,et al. GPU-Services: GPU Based Real-Time Processing of 3D Point Clouds Applied to Robotic Systems and Intelligent Vehicles , 2016 .
[18] Witold Pedrycz,et al. An area-based shape distance measure of time series , 2016, Appl. Soft Comput..
[19] Demis Hassabis,et al. Mastering the game of Go without human knowledge , 2017, Nature.
[20] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[21] Yuancheng Li,et al. A Short Term Load Forecasting Model Using Core Vector Regression Optimized by Memetic Algorithm , 2016 .
[22] Xiao-Jun Zeng,et al. Short-Term and Midterm Load Forecasting Using a Bilevel Optimization Model , 2009, IEEE Transactions on Power Systems.
[23] Jun Li,et al. Short Term Electric Load Prediction by Incorporation of Kernel into Features Extraction Regression Technique , 2017 .
[24] Yann LeCun,et al. Convolutional networks and applications in vision , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.
[25] Ge Wang,et al. A Perspective on Deep Imaging , 2016, IEEE Access.
[26] Yuan Zhang,et al. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network , 2019, IEEE Transactions on Smart Grid.
[27] Ran Li,et al. Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNN , 2018, IEEE Transactions on Smart Grid.
[28] Martin A. Riedmiller,et al. Deep auto-encoder neural networks in reinforcement learning , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[29] Yusuf Yaslan,et al. A hybrid method for time series prediction using EMD and SVR , 2014, 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP).
[30] G. W. Hughes,et al. Minimum Prediction Residual Principle Applied to Speech Recognition , 1975 .
[31] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[32] Yoshua Bengio,et al. Why Does Unsupervised Pre-training Help Deep Learning? , 2010, AISTATS.
[33] Shie-Jue Lee,et al. A weighted LS-SVM based learning system for time series forecasting , 2015, Inf. Sci..
[34] Geoffrey E. Hinton,et al. Acoustic Modeling Using Deep Belief Networks , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[35] G. Jang,et al. Short-term load forecasting for the holidays using fuzzy linear regression method , 2005, IEEE Transactions on Power Systems.
[36] Mohamed Chaouch,et al. Clustering-Based Improvement of Nonparametric Functional Time Series Forecasting: Application to Intra-Day Household-Level Load Curves , 2014, IEEE Transactions on Smart Grid.
[37] Xiaopeng Wei,et al. Predicting the Risk of Heart Failure With EHR Sequential Data Modeling , 2018, IEEE Access.
[38] Hai-shan Wu,et al. Power Load Forecasting with Least Squares Support Vector Machines and Chaos Theory , 2006, 2006 6th World Congress on Intelligent Control and Automation.
[39] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[40] John Salvatier,et al. Theano: A Python framework for fast computation of mathematical expressions , 2016, ArXiv.
[41] Yang Wang,et al. Short-Term Load-Forecasting Method Based on Wavelet Decomposition With Second-Order Gray Neural Network Model Combined With ADF Test , 2017, IEEE Access.
[42] Herna L. Viktor,et al. Spectral Clustering: An Explorative Study of Proximity Measures , 2011, IC3K.
[43] David J. Hill,et al. Short-Term Residential Load Forecasting Based on Resident Behaviour Learning , 2018, IEEE Transactions on Power Systems.
[44] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[45] Tetsuya Ogata,et al. Audio-visual speech recognition using deep learning , 2014, Applied Intelligence.
[46] Jean-François Mari,et al. An N-best strategy, dynamic grammars and selectively trained neural networks for real-time recognition of continuously spelled names over the telephone , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.