4.6 Review

Review of preprocessing methods for univariate volatile time-series in power system applications

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

K-Means-based isolation forest

Pawet Karczmarek et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Engineering, Electrical & Electronic

Probabilistic Deep Autoencoder for Power System Measurement Outlier Detection and Reconstruction

You Lin et al.

IEEE TRANSACTIONS ON SMART GRID (2020)

Article Engineering, Electrical & Electronic

Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks

Zi Lin et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

Proceedings Paper Computer Science, Information Systems

SSO-IF: An Outlier Detection Approach for Intrusion Detection in SCADA Systems

P. S. Chaithanya et al.

INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES, ICICCT 2019 (2020)

Review Computer Science, Artificial Intelligence

A comparison of random forest variable selection methods for classification prediction modeling

Jaime Lynn Speiser et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Article Engineering, Electrical & Electronic

A spatiotemporal probabilistic model-based temperature-augmented probabilistic load flow considering PV generations

B. Rajanarayan Prusty et al.

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2019)

Article Computer Science, Information Systems

Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow

Youcef Djenouri et al.

IEEE ACCESS (2019)

Article Computer Science, Information Systems

Progress in Outlier Detection Techniques: A Survey

Hongzhi Wang et al.

IEEE ACCESS (2019)

Article Computer Science, Artificial Intelligence

Adaptive kernel density-based anomaly detection for nonlinear systems

Liangwei Zhang et al.

KNOWLEDGE-BASED SYSTEMS (2018)

Article Engineering, Electrical & Electronic

Real-time anomaly detection for very short-term load forecasting

Jian Luo et al.

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY (2018)

Article Engineering, Electrical & Electronic

Data Improving in Time Series Using ARX and ANN Models

Hermine N. Akouemo et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

A local density-based approach for outlier detection

Bo Tang et al.

NEUROCOMPUTING (2017)

Article Computer Science, Information Systems

Real-Time Detection of Power System Disturbances Based on k-Nearest Neighbor Analysis

Lianfang Cai et al.

IEEE ACCESS (2017)

Article Engineering, Electrical & Electronic

Identification and Correction of Outliers in Wind Farm Time Series Power Data

Xi Ye et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2016)

Article Engineering, Electrical & Electronic

Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series

Flore Harle et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2016)

Article Computer Science, Artificial Intelligence

An efficient algorithm for distributed density-based outlier detection on big data

Mei Bai et al.

NEUROCOMPUTING (2016)

Article Multidisciplinary Sciences

A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data

Markus Goldstein et al.

PLOS ONE (2016)

Article Economics

Probabilistic anomaly detection in natural gas time series data

Hermine N. Akouemo et al.

INTERNATIONAL JOURNAL OF FORECASTING (2016)

Article Thermodynamics

Outliers detection method of multiple measuring points of parameters in power plant units

Minfang Qi et al.

APPLIED THERMAL ENGINEERING (2015)

Article Computer Science, Information Systems

A fast MST-inspired kNN-based outlier detection method

Xiaochun Wang et al.

INFORMATION SYSTEMS (2015)

Article Green & Sustainable Science & Technology

Raw Wind Data Preprocessing: A Data-Mining Approach

Le Zheng et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2015)

Article Computer Science, Artificial Intelligence

Outlier Detection for Temporal Data: A Survey

Manish Gupta et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2014)

Article Automation & Control Systems

Nearest neighbors method for detecting transient disturbances in process and electromechanical systems

Ines M. Cecilio et al.

JOURNAL OF PROCESS CONTROL (2014)

Article Engineering, Multidisciplinary

Time Series Outlier Detection Based on Sliding Window Prediction

Yufeng Yu et al.

MATHEMATICAL PROBLEMS IN ENGINEERING (2014)

Article Multidisciplinary Sciences

Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression

K. K. L. B. Adikaram et al.

SCIENTIFIC WORLD JOURNAL (2014)

Article Engineering, Electrical & Electronic

From Landscape to Portrait: A New Approach for Outlier Detection in Load Curve Data

Guoming Tang et al.

IEEE TRANSACTIONS ON SMART GRID (2014)

Article Engineering, Electrical & Electronic

A Bayesian-Based Approach for a Short-Term Steady-State Forecast of a Smart Grid

Antonio Bracale et al.

IEEE TRANSACTIONS ON SMART GRID (2013)

Article Engineering, Electrical & Electronic

Detecting X-Outliers in Load Curve Data in Power Systems

Zhihui Guo et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2012)

Article Engineering, Electrical & Electronic

Robust Nonparametric Regression via Sparsity Control With Application to Load Curve Data Cleansing

Gonzalo Mateos et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2012)

Proceedings Paper Computer Science, Theory & Methods

A Framework for Outlier Detection in Evolving Data Streams by Weighting Attributes in Clustering

Yogita et al.

2ND INTERNATIONAL CONFERENCE ON COMMUNICATION, COMPUTING & SECURITY [ICCCS-2012] (2012)

Article Computer Science, Interdisciplinary Applications

Anomaly detection in streaming environmental sensor data: A data-driven modeling approach

David J. Hill et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2010)

Article Engineering, Ocean

An Algorithm for Classification and Outlier Detection of Time-Series Data

R. Andrew Weekley et al.

JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2010)

Article Engineering, Electrical & Electronic

Automated Load Curve Data Cleansing in Power Systems

Jiyi Chen et al.

IEEE TRANSACTIONS ON SMART GRID (2010)

Article Computer Science, Theory & Methods

Anomaly detection

Varun Chandola et al.

ACM COMPUTING SURVEYS (2009)

Article Computer Science, Artificial Intelligence

Resolution-based outlier factor: detecting the top-n most outlying data points in engineering data

Hongqin Fan et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2009)

Article Engineering, Electrical & Electronic

ARMAsel for detection and correction of outliers in univariate stochastic data

Piet A. T. Broersen

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2008)