Research on an Ultra-Short-Term Working Condition Prediction Method Based on a CNN-LSTM Network

Deformation prediction of reservoir landslides based on a Bayesian optimized random forest-combined Kalman filter

(2022) Nanfang Zhang et al.   Environmental Earth Sciences

The Discharge Forecasting of Multiple Monitoring Station for Humber River by Hybrid LSTM Models

(2022) Yue Zhang et al.   Water

Comparison of Different Features and Neural Networks for Predicting Industrial Paper Press Condition

(2022) João Antunes Rodrigues et al.   Energies

Multi-scale local cues and hierarchical attention-based LSTM for stock price trend prediction

(2022) Xiao Teng et al.   NEUROCOMPUTING

Ultra-short term power load forecasting based on CEEMDAN-SE and LSTM neural network

(2022) Ke Li et al.   ENERGY AND BUILDINGS

Modes decomposition forecasting approach for ultra-short-term wind speed

(2021) Zhongda Tian   APPLIED SOFT COMPUTING

Secure prediction and assessment of sports injuries using deep learning based convolutional neural network

(2021) Hesheng Song et al.   Journal of Ambient Intelligence and Humanized Computing

A Hybrid GA–PSO–CNN Model for Ultra-Short-Term Wind Power Forecasting

(2021) Jie Liu et al.   Energies

Ultra-short term wind power prediction applying a novel model named SATCN-LSTM

(2021) Ling Xiang et al.   ENERGY CONVERSION AND MANAGEMENT

Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit

(2021) Nikhil M. Thoppil et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Well performance prediction based on Long Short-Term Memory (LSTM) neural network

(2021) Ruijie Huang et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

An effective compression algorithm for real-time transmission data using predictive coding with mixed models of LSTM and XGBoost

(2021) Zhidan Yan et al.   NEUROCOMPUTING

Daily natural gas load forecasting based on the combination of long short term memory, local mean decomposition, and wavelet threshold denoising algorithm

(2021) Shanbi Peng et al.   Journal of Natural Gas Science and Engineering

Universities power energy management: A novel hybrid model based on iCEEMDAN and Bayesian optimized LSTM

(2021) Yaqing He et al.   Energy Reports

A VMD and LSTM Based Hybrid Model of Load Forecasting for Power Grid Security

(2021) Lingling Lv et al.   IEEE Transactions on Industrial Informatics

Prediction of early stabilization time of electrolytic capacitor based on ARIMA-Bi_LSTM hybrid model

(2020) Zeping Wang et al.   NEUROCOMPUTING

An Overview of Artificial Intelligence Applications for Power Electronics

(2020) Shuai Zhao et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series

(2019) Hossein Javedani Sadaei et al.   ENERGY

Deep Learning with Long Short-Term Memory for Time Series Prediction

(2019) Yuxiu Hua et al.   IEEE COMMUNICATIONS MAGAZINE

Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model

(2019) Xuanyi Song et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Remaining useful life prediction of crude oil pipeline by means of deterioration curves

(2019) Nagoor Basha Shaik et al.   PROCESS SAFETY PROGRESS

A Review of Deep Learning Models for Time Series Prediction

(2019) Zhongyang Han et al.   IEEE SENSORS JOURNAL

A CNN-Based Fusion Method for Feature Extraction from Sentinel Data

(2018) Giuseppe Scarpa et al.   Remote Sensing