A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series
暂无分享,去创建一个
Alicia Troncoso Lora | Gualberto Asencio-Cortés | L. Melgar-García | P. Jiménez-Herrera | A. T. Lora | G. Asencio-Cortés | P. Jiménez-Herrera | Laura Melgar-García
[1] Geoff Holmes,et al. MOA: Massive Online Analysis , 2010, J. Mach. Learn. Res..
[2] George E. P. Box,et al. Time Series Analysis: Box/Time Series Analysis , 2008 .
[3] Alicia Troncoso Lora,et al. A novel spark-based multi-step forecasting algorithm for big data time series , 2018, Inf. Sci..
[4] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[5] João Gama,et al. Adaptive Model Rules from Data Streams , 2013, ECML/PKDD.
[6] Saso Dzeroski,et al. Learning model trees from evolving data streams , 2010, Data Mining and Knowledge Discovery.
[7] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[8] Geoff Holmes,et al. Fast Perceptron Decision Tree Learning from Evolving Data Streams , 2010, PAKDD.
[9] Huanxin Chen,et al. A review on machine learning forecasting growth trends and their real-time applications in different energy systems , 2020 .
[10] Michèle Basseville,et al. Detecting changes in signals and systems - A survey , 1988, Autom..
[11] Francisco Martínez-Álvarez,et al. Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities , 2018 .
[12] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[13] João Gama,et al. Stream-Based Electricity Load Forecast , 2007, PKDD.
[14] Geoff Hulten,et al. Mining time-changing data streams , 2001, KDD '01.
[15] Francisco Martínez-Álvarez,et al. A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting , 2015 .
[16] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[17] Alicia Troncoso Lora,et al. A scalable approach based on deep learning for big data time series forecasting , 2018, Integr. Comput. Aided Eng..
[18] Peter Laurinec,et al. Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting , 2018, Data Mining and Knowledge Discovery.
[19] Hongming Cai,et al. A short-term energy prediction system based on edge computing for smart city , 2019, Future Gener. Comput. Syst..
[20] David W. Aha,et al. Instance-Based Learning Algorithms , 1991, Machine Learning.
[21] Cheol-Yong Jang,et al. Feasibility study on a novel methodology for short-term real-time energy demand prediction using weather forecasting data , 2013 .