Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming
暂无分享,去创建一个
Alicia Troncoso Lora | Cristina Rubio-Escudero | David Gutiérrez-Avilés | Laura Melgar-García | A. T. Lora | Cristina Rubio-Escudero | Laura Melgar-García | David Gutiérrez-Avilés
[1] Alicia Troncoso Lora,et al. A scalable approach based on deep learning for big data time series forecasting , 2018, Integr. Comput. Aided Eng..
[2] João Gama,et al. Stream-Based Electricity Load Forecast , 2007, PKDD.
[3] Irena Koprinska,et al. Multi-step forecasting for big data time series based on ensemble learning , 2019, Knowl. Based Syst..
[4] Ruoyu Li,et al. Data Mining Based Full Ceramic Bearing Fault Diagnostic System Using AE Sensors , 2011, IEEE Transactions on Neural Networks.
[5] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[6] Yanhong Li,et al. Incremental entropy-based clustering on categorical data streams with concept drift , 2014, Knowl. Based Syst..
[7] Alicia Troncoso Lora,et al. SmartFD: A Real Big Data Application for Electrical Fraud Detection , 2018, HAIS.
[8] Alicia Troncoso Lora,et al. MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting , 2019, Neurocomputing.
[9] Alicia Troncoso Lora,et al. Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks , 2019, SOCO.
[10] Wenjian Wang,et al. Online prediction model based on support vector machine , 2008, Neurocomputing.
[11] Alicia Troncoso Lora,et al. Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production , 2008, Eur. J. Oper. Res..
[12] Jia Shi,et al. Streaming Massive Electric Power Data Analysis Based on Spark Streaming , 2019, DASFAA Workshops.
[13] Shonali Krishnaswamy,et al. Mining data streams: a review , 2005, SGMD.
[14] Xike Xie,et al. Survey of real-time processing systems for big data , 2014, IDEAS.
[15] Francisco Martínez-Álvarez,et al. Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities , 2018 .
[16] Francisco Herrera,et al. kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data , 2017, Knowl. Based Syst..
[17] Pedro Lara Benítez,et al. Temporal convolutional networks applied to energy-related time series forecasting , 2020 .
[18] Saeed Shahrivari,et al. Beyond Batch Processing: Towards Real-Time and Streaming Big Data , 2014, Comput..
[19] J. Ramos,et al. Electricity Market Price Forecasting Based on Weighted Nearest Neighbors Techniques , 2007, IEEE Transactions on Power Systems.
[20] Alicia Troncoso Lora,et al. Big data time series forecasting based on nearest neighbours distributed computing with Spark , 2018, Knowl. Based Syst..
[21] Sahibsingh A. Dudani. The Distance-Weighted k-Nearest-Neighbor Rule , 1976, IEEE Transactions on Systems, Man, and Cybernetics.
[22] Witold Pedrycz,et al. Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification , 2019, IEEE Transactions on Industrial Informatics.