Anomalous load profile detection in power systems using wavelet transform and robust regression
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Anomalous load profile detection in power systems using wavelet transform and robust regression
Authors
Keywords
-
Journal
ADVANCED ENGINEERING INFORMATICS
Volume 53, Issue -, Pages 101639
Publisher
Elsevier BV
Online
2022-06-15
DOI
10.1016/j.aei.2022.101639
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Autoencoder-based anomaly detection for surface defect inspection
- (2021) Du-Ming Tsai et al. ADVANCED ENGINEERING INFORMATICS
- Deep-learning-based anomaly detection for lace defect inspection employing videos in production line
- (2021) Bingyu Lu et al. ADVANCED ENGINEERING INFORMATICS
- Research on power load forecasting model of economic development zone based on neural network
- (2021) Qiming Feng et al. Energy Reports
- Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft
- (2020) Hyunseong Lee et al. ADVANCED ENGINEERING INFORMATICS
- Short-Term Electricity Demand Forecasting: Impact Analysis of Temperature for Thailand
- (2020) Kamal Chapagain et al. Energies
- Anomaly detection of defects on concrete structures with the convolutional autoencoder
- (2020) J.K. Chow et al. ADVANCED ENGINEERING INFORMATICS
- Load forecasting under data corruption based on anomaly detection and combined robust regression
- (2019) Ruicheng Zheng et al. International Transactions on Electrical Energy Systems
- Descriptive Analytics-Based Anomaly Detection for Cybersecure Load Forecasting
- (2019) Meng Yue et al. IEEE Transactions on Smart Grid
- Comparison of three short-term load forecast models in Southern California
- (2019) Ning Zhang et al. ENERGY
- Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
- (2018) Mohanad S. Al-Musaylh et al. ADVANCED ENGINEERING INFORMATICS
- Real-time anomaly detection for very short-term load forecasting
- (2018) Jian LUO et al. Journal of Modern Power Systems and Clean Energy
- Robust Regression Models for Load Forecasting
- (2018) Jian Luo et al. IEEE Transactions on Smart Grid
- Analysis and Modeling for China’s Electricity Demand Forecasting Using a Hybrid Method Based on Multiple Regression and Extreme Learning Machine: A View from Carbon Emission
- (2016) Yi Liang et al. Energies
- Improving the Accuracy of Bus Load Forecasting by a Two-Stage Bad Data Identification Method
- (2014) Xinyu Chen et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Very Short-Term Load Forecasting: Wavelet Neural Networks With Data Pre-Filtering
- (2012) Che Guan et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Long-term load forecasting by a collaborative fuzzy-neural approach
- (2012) Toly Chen et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Detecting X-Outliers in Load Curve Data in Power Systems
- (2011) Zhihui Guo et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Automated Load Curve Data Cleansing in Power Systems
- (2010) Jiyi Chen et al. IEEE Transactions on Smart Grid
- Anomaly detection
- (2009) Varun Chandola et al. ACM COMPUTING SURVEYS
- Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm
- (2008) N AMJADY et al. ENERGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation