IEEE

CNN-Attention-LSTM Model for Short-Term Electricity Price Forecasting Optimized by PID-Based Search Algorithm

Abstract: Accurate short-term electricity price forecasting is crucial for optimizing electricity market transactions, ensuring the reliability and safety of power systems, and accelerating the ...
IEEE

Leveraging Autocorrelation in a Dilated CNN-LSTM Framework for Predicting the US Supreme Court Decisions

Abstract: This paper introduces a hybrid Dilated Convolutional Neural Network and Long Short-Term Memory (H-DCNN-LSTM) architecture for predicting judicial decisions from the United States Supreme ...
IEEE

Research on ice thickness prediction of power transmission lines based on SO-CNN-LSTM algorithm

One of the fundamental requirements for the operation of power systems is safety and stability. However, in recent years, natural disasters such as rain, snow, and freezing weather have posed a ...
IEEE

QCL-LNF: A Spatiotemporal Quantum CNN-LSTM Model for Long-Term NDVI Forecasting

Abstract: The normalized difference vegetation index (NDVI), as a key remote sensing indicator for assessing vegetation growth conditions, plays a vital role in agricultural monitoring and ecological ...
IEEE

Fault Diagnosis of Photovoltaic Power Stations Based on the CNN-LSTM-BP Algorithm

Abstract: Driven by the strategic goals of carbon peak and carbon neutrality, photovoltaic (PV) power generation has developed rapidly. However, PV power stations are prone to failures such as ...
IEEE

AdaBoost-LSTM: A Hybrid Ensemble Framework for Sequential Credit Card Fraud Detection

Abstract: Credit card fraud detection is a critical task in financial systems, requiring effective algorithms to accurately classify transactions as fraudulent or non-fraudulent. This paper proposes a ...
IEEE

Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection

Abstract: This research presents a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model developed for malware classification from IoT devices in the SCADA system and for ...
IEEE

The CNN-SE-LSTM Model for Phase Interferometer Ambiguity Resolution

Abstract: To address the phase ambiguity problem arising from baseline extension in phase interferometer for improving direction-finding accuracy, this paper proposes a CNN-SE-LSTM model-based phase ...
IEEE

Bayesian-Optimized CNN-LSTM for Forecasting Short-Term Photovoltaic Power in Microgrids

Abstract: The development of deep learning algorithms has also made it possible to use artificial neural network algorithms to forecast time series with excellent results because solar energy is ...