Cover Image

A Hybrid PCA-PR-Seq2Seq-Adam-LSTM Framework for Time-Series Power Outage Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Das, Subhabrata, Khan, Bodruzzaman, Liu, Xiao-Yang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Public Transit Arrival Prediction: a Seq2Seq RNN Approach
by: Bhutani, Nancy, et al.
Published: (2022)

Enhancing Stress-Strain Predictions with Seq2Seq and Cross-Attention based on Small Punch Test
by: Yang, Zhengni, et al.
Published: (2025)

PhysioSeq2Seq: A Hybrid Physiological Digital Twin and Sequence-to-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes
by: Tran, Phat, et al.
Published: (2026)

SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting
by: Huang, Ting-Ji, et al.
Published: (2025)

Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation
by: Vilalta-Mor, Júlia, et al.
Published: (2025)

Liquid Neural Network Models for Natural Gas Spot Price Time-Series Forecasting
by: Liu, Yiqian, et al.
Published: (2026)

TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering
by: Habib, Al Zadid Sultan Bin, et al.
Published: (2024)

Improving Bangla Linguistics: Advanced LSTM, Bi-LSTM, and Seq2Seq Models for Translating Sylheti to Modern Bangla
by: Das, Sourav Kumar, et al.
Published: (2025)

SeqNAS: Neural Architecture Search for Event Sequence Classification
by: Udovichenko, Igor, et al.
Published: (2024)

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
by: Yi, Lu, et al.
Published: (2025)

GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning
by: Zhang, Heming, et al.
Published: (2024)

A Novel cVAE-Augmented Deep Learning Framework for Pan-Cancer RNA-Seq Classification
by: Polepalli, Vinil
Published: (2025)

OptiSeq: Ordering Examples On-The-Fly for In-Context Learning
by: Bhope, Rahul Atul, et al.
Published: (2025)

SafeBench-Seq: A Homology-Clustered, CPU-Only Baseline for Protein Hazard Screening with Physicochemical/Composition Features and Cluster-Aware Confidence Intervals
by: Khan, Muhammad Haris
Published: (2025)

SeqMate: A Novel Large Language Model Pipeline for Automating RNA Sequencing
by: Mondal, Devam, et al.
Published: (2024)

SeqPE: Transformer with Sequential Position Encoding
by: Li, Huayang, et al.
Published: (2025)

SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
by: Xu, Zhongling, et al.
Published: (2026)

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
by: Gong, Jing, et al.
Published: (2023)

SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAM
by: Towle, Benjamin, et al.
Published: (2025)

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling
by: Zhou, Zikang, et al.
Published: (2024)

SeqBattNet: A Discrete-State Physics-Informed Neural Network with Aging Adaptation for Battery Modeling
by: Tran, Khoa, et al.
Published: (2025)

Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular Transformers
by: Teja, Bogireddy Sai Prasanna, et al.
Published: (2025)

AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis
by: Jain, Milan, et al.
Published: (2025)

MermaidSeqBench: An Evaluation Benchmark for NL-to-Mermaid Sequence Diagram Generation
by: Shbita, Basel, et al.
Published: (2025)

SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation
by: Xu, Ting, et al.
Published: (2025)

Advanced Hybrid Transformer LSTM Technique with Attention and TS Mixer for Drilling Rate of Penetration Prediction
by: Khan, Saddam Hussain
Published: (2025)

Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
by: Sonani, Meet Satishbhai, et al.
Published: (2025)

ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN
by: Bashar, Md Abul, et al.
Published: (2023)

Semiconductor Industry Trend Prediction with Event Intervention Based on LSTM Model in Sentiment-Enhanced Time Series Data
by: Yen, Wei-hsiang, et al.
Published: (2025)

xLSTMTime : Long-term Time Series Forecasting With xLSTM
by: Alharthi, Musleh, et al.
Published: (2024)

Time Series Forecasting Using a Hybrid Deep Learning Method: A Bi-LSTM Embedding Denoising Auto Encoder Transformer
by: Koohfar, Sahar, et al.
Published: (2025)

Marine Chlorophyll Prediction and Driver Analysis based on LSTM-RF Hybrid Models
by: Qian, Zhouyao, et al.
Published: (2025)

Leveraging Graph Structure in Seq2Seq Models for Knowledge Graph Link Prediction
by: Phuc, Luu Huu, et al.
Published: (2026)

Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability
by: Xu, Kunpeng, et al.
Published: (2024)

A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
by: Park, Young-Jin, et al.
Published: (2024)

Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
by: Kim, Changhun, et al.
Published: (2025)

Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality
by: Liu, Ziqi, et al.
Published: (2025)

Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach
by: Pardeshi, Karan, et al.
Published: (2023)

Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependencies
by: Cismaru, Alexandru T.
Published: (2024)

TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
by: Xia, Mingyuan, et al.
Published: (2025)