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Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition

https://doi.org/10.1109/access.2021.3071654
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Zero-Carbon Parks’ Electric Load Forecasting Considering Feature Extraction of Multi-Type Electric Load and Dual-Layer Optimization Modal Decomposition
inferred← citeshttps://doi.org/10.3390/computation13030075openalex-snapshot
Short-Term Load Forecasting in Distribution Substation Using Autoencoder and Radial Basis Function Neural Networks: A Case Study in India
inferred← citeshttps://doi.org/10.3390/electronics15030707openalex-snapshot
Artificial Intelligence-Enhanced Droop Control for Renewable Energy-Based Microgrids: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/en14196161openalex-snapshot
Efficient Energy Management Based on Convolutional Long Short-Term Memory Network for Smart Power Distribution System
inferred← citeshttps://doi.org/10.3390/en14227788openalex-snapshot
Enhanced Short-Term Load Forecasting Using Artificial Neural Networks
inferred← citeshttps://doi.org/10.3390/en15072623openalex-snapshot
A Multi-Step Time-Series Clustering-Based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting
inferred← citeshttps://doi.org/10.3390/en17102251openalex-snapshot
Energy Load Forecasting Techniques in Smart Grids: A Cross-Country Comparative Analysis
inferred← citeshttps://doi.org/10.3390/en17122966openalex-snapshot
Optimization of Impedance Relay Placement in Medium-Voltage Electrical Distribution Systems through Clustering Algorithms and Metaheuristics
inferred← citeshttps://doi.org/10.3390/en17236201openalex-snapshot
Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning
inferred← citeshttps://doi.org/10.3390/en18071832openalex-snapshot
Sizing and Characterization of Load Curves of Distribution Transformers Using Clustering and Predictive Machine Learning Models
inferred← citeshttps://doi.org/10.3390/en18123001openalex-snapshot
Dynamic Load Management in Modern Grid Systems Using an Intelligent SDN-Based Framework
inferred← citeshttps://doi.org/10.3390/en19081995openalex-snapshot
Imbalance-Aware Spatiotemporal Load Forecasting via Cluster-Weighted State Space Modeling
inferred← citeshttps://doi.org/10.3390/en19133007openalex-snapshot
Unveiling Trends in Machine Learning for Smart Grids: A Comprehensive Bibliometric and Science Mapping Approach
inferred← citeshttps://doi.org/10.3390/en19194571openalex-snapshot
Short-Term Load Forecasting in Smart Distribution Networks: A Systematic Review of Data Analytics, Clustering Techniques, and Forecasting Models
inferred← citeshttps://doi.org/10.3390/forecast4010008openalex-snapshot
Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks
inferred← citeshttps://doi.org/10.3390/math11030608openalex-snapshot
Automated Fire Extinguishing System Using a Deep Learning Based Framework
inferred← citeshttps://doi.org/10.3390/su15021524openalex-snapshot
Wild Horse Optimization with Deep Learning-Driven Short-Term Load Forecasting Scheme for Smart Grids
inferred← citeshttps://doi.org/10.3390/sym15020535openalex-snapshot
Pattern Recognition and Deep Learning Technologies, Enablers of Industry 4.0, and Their Role in Engineering Research
inferred← citeshttps://doi.org/10.4018/joeuc.354707openalex-snapshot
Intelligent Asset Allocation Portfolio Division and Recommendation
inferred← citeshttps://doi.org/10.53759/7669/jmc202505016openalex-snapshot
Prediction of Electricity Consumption in Residential Areas using Temporal Fusion Transformer and Convolutional Neural Network
inferred← citeshttps://doi.org/10.7717/peerj-cs.1632openalex-snapshot
Energy consumption analysis of power grid distribution transformers based on an improved genetic algorithm
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