Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC

Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC

Power load anomaly detection is critical to grid stability and security. With the increasing complexity of load patterns, it is difficult for traditional methods to meet the requirements of accurate detection. Therefore, this study proposes a short and medium-term power load anomaly detection method...

Full description

Saved in:

Bibliographic Details
Main Authors:	Zhipeng Li, Shaobo Liu, Yang Zhang, Zhaowei Wang, Lu Wang, Lu Huang
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Convolutional neural network electricity load forecasting short and medium-term forecasting time series analysis smart grid deep learning
Online Access:	https://ieeexplore.ieee.org/document/11104123/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting
by: Jaeuk Moon, et al.
Published: (2020-01-01)

Hybrid CNN–LSTM Model With Soft Attention Mechanism for Short‐Term Load Forecasting in Smart Grid
by: Syed Muhammad Hasanat, et al.
Published: (2025-05-01)

A federated LSTM network for load forecasting using multi-source data with homomorphic encryption
by: Mengdi Wang, et al.
Published: (2025-03-01)

Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer
by: Kaiyuan Hou, et al.
Published: (2025-01-01)

Short-Term Load Forecasting Based on Pelican Optimization Algorithm and Dropout Long Short-Term Memories–Fully Convolutional Neural Network Optimization
by: Haonan Wang, et al.
Published: (2024-12-01)

An Improved Deep Learning Model for Electricity Price Forecasting
by: Rashed Iqbal, et al.
Published: (2025-01-01)

UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data
by: Shiyang Zhou, et al.
Published: (2025-02-01)

Short-Term Electricity Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Improved Sparrow Search Algorithm–Convolutional Neural Network–Bidirectional Long Short-Term Memory Model
by: Han Qiu, et al.
Published: (2025-02-01)

An Informer Model for Very Short-Term Power Load Forecasting
by: Zhihe Yang, et al.
Published: (2025-02-01)

New Forecasting Metrics Evaluated in Prophet, Random Forest, and Long Short-Term Memory Models for Load Forecasting
by: Prajowal Manandhar, et al.
Published: (2024-12-01)

Elastic Momentum-Enhanced Adaptive Hybrid Method for Short-Term Load Forecasting
by: Wenting Zhao, et al.
Published: (2025-06-01)

Comparison of artificial neural network models of categorized daily electric load
by: Vildan Evren, et al.
Published: (2021-04-01)

Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis
by: Ava Mohammadi, et al.
Published: (2025-01-01)

Research on Short-term Load Forecasting Algorithm Based on VMD and TCN
by: WANG Qing, et al.
Published: (2024-04-01)

Enhancing Medium-Term Load Forecasting Accuracy in Post-Pandemic Tropical Regions: A Comparative Analysis of Polynomial Regression, Split Polynomial Regression, and LSTM Networks
by: Agus Setiawan
Published: (2025-07-01)

Short-term Load Forecasting Based on CNN-LSTM with Quadratic Decomposition Combined
by: DENG Bowen, et al.
Published: (2023-08-01)

Forecasting very short-term power load with hybrid interpretable deep models
by: Zhihe Yang, et al.
Published: (2025-12-01)

Medium and short-term load forecasting based on NPMA-LSSVM algorithm in the case of unbalance and minority sample data
by: YANG Qiuyu, et al.
Published: (2025-05-01)

Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks
by: Shewit Tsegaye, et al.
Published: (2024-01-01)

Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon
by: Abhishu Oza, et al.
Published: (2025-01-01)

Short-Term Load Forecasting in Power Systems Based on the Prophet–BO–XGBoost Model
by: Shuang Zeng, et al.
Published: (2025-01-01)

Hybrid Optimization based on Deep Learning Approach for Short-Term Load Forecast of Electricity Demand in Buildings
by: Charan Sekhar Makula, et al.
Published: (2024-06-01)

Enhancing Smart Grids for Sustainable Energy Transition and Emission Reduction with Advanced Forecasting Techniques
by: Farah Rania, Farou Brahim, Kouahla Zineddine and Seridi Hamid
Published: (2024-12-01)

Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory
by: Somasundaram Vasudevan, et al.
Published: (2024-12-01)

Forecasting consumption of electric energy by using wavelet transform
by: V. I. Skorokhodov, et al.
Published: (2021-06-01)

Short-Term Load Forecasting Based on Feature Selection and Combination Model
by: Yusong XU, et al.
Published: (2022-07-01)

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory
by: Huiru ZHAO, et al.
Published: (2020-06-01)

The Effect of Input Length on Prediction Accuracy in Short-Term Multi-Step Electricity Load Forecasting: A CNN-LSTM Approach
by: Seyda Ozdemir, et al.
Published: (2025-01-01)

Short-Term Power Load Forecasting Using an Improved Model Integrating GCN and Transformer
by: Man Wu, et al.
Published: (2025-06-01)

Mitigating Long-Term Forecasting Bias in Time-Series Neural Networks via Ensemble of Short-Term Dependencies
by: Jiahui Wang, et al.
Published: (2025-06-01)

Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM
by: Yibo Lai, et al.
Published: (2025-01-01)

A big data framework for short-term power load forecasting using heterogenous data
by: Haibo ZHAO, et al.
Published: (2022-12-01)

Short-Term Water Demand Forecasting Using Machine Learning Approaches in a Case Study of a Water Distribution Network Located in Italy
by: Qidong Que, et al.
Published: (2024-09-01)

LoadSeer: Exploiting Tensor Graph Convolutional Network for Power Load Forecasting With Spatio-Temporal Characteristics
by: Jiahao Zhang, et al.
Published: (2024-01-01)

Short-Term Electrical Load Forecasting in Power Systems Using Deep Learning Techniques
by: Nihat Pamuk
Published: (2023-10-01)

An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting
by: Yingying He, et al.
Published: (2024-09-01)

Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm
by: Haihong FAN
Published: (2021-03-01)

Power Grid Load Forecasting Using a CNN-LSTM Network Based on a Multi-Modal Attention Mechanism
by: Wangyong Guo, et al.
Published: (2025-02-01)

An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model
by: Jiawen You, et al.
Published: (2025-04-01)

A Full-Fledged, Multi-Agent System Representing the Architecture of Smart Cities by Balancing Energy With Optimal Electricity Forecasting, Integrating Individual Comfort, and Extracting Financial Gains
by: M. Mahad Malik, et al.
Published: (2024-01-01)