Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization

Xuebo Jin, Wei-Zhen Zheng, Jianlei Kong, +4

Energies

EngineeringMachine LearningElectric Power LoadRecurrent Neural NetworkTemporal Attention Layer +19

PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data

Xuebo Jin, Wen-Tao Gong, Jianlei Kong, +2

Mathematics

EngineeringMachine LearningData ScienceRobust ModelingVariational Auto-encoder +11

State of art on state estimation: Kalman filter driven by machine learning

Yuting Bai, Bin Yan, Chenguang Zhou, +2

Annual Reviews in Control

State EstimationEngineeringMachine LearningFiltering TechniqueState Observer +6

Deep Learning Predictor for Sustainable Precision Agriculture Based on Internet of Things System

Xuebo Jin, Xing-Hong Yu, Xiaoyi Wang, +3

Sustainability

Convolutional Neural NetworkPrecision AgricultureEngineeringMachine LearningAgricultural Economics +19

Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model

Xuebo Jin, Nian-Xiang Yang, Xiaoyi Wang, +3

Sensors

Smart Agriculture SensingPrecision AgricultureEngineeringMachine LearningAutoencoders +16

A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System

Xuebo Jin, Jiashuai Zhang, Jianlei Kong, +2

Agronomy

Artificial IntelligenceConvolutional Neural NetworkPrecision AgricultureEngineeringMachine Learning +15

Deep Hybrid Model Based on EMD with Classification by Frequency Characteristics for Long-Term Air Quality Prediction

Xuebo Jin, Nian-Xiang Yang, Xiaoyi Wang, +3

Mathematics

Convolutional Neural NetworkPollution DetectionEnvironmental MonitoringMachine LearningData Science +13

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction

Xuebo Jin, Zhong-Yao Wang, Jianlei Kong, +4

Entropy

EngineeringMachine LearningNetwork AnalysisGraph Signal ProcessingSocial Sciences +18

A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting

Xuebo Jin, Wen-Tao Gong, Jianlei Kong, +2

Entropy

Forecasting MethodologyEngineeringMachine LearningAutoencodersRecurrent Neural Network +15

A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model

Yuting Bai, Xiaoyi Wang, Xuebo Jin, +2

Sensors

State EstimationNonlinear System IdentificationAdaptive FilterEngineeringFiltering Technique +9