Area of research
Statistical and Nonlinear Physics · Energy Engineering and Power Technology
Research interest
Research focused on Chaotic and Artificial neural network, with related work in Wind power, Laguerre polynomials, Stability (learning theory). Notable publications include 'Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network', 'Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm', and 'Chaotic evolution optimization: A novel metaheuristic algorithm inspired by chaotic dynamics'.
Chaotic evolution optimization: A novel metaheuristic algorithm inspired by chaotic dynamics
Sine-Transform-Based Dual-Memristor Hyperchaotic Map and Analog Circuit Implementation
Bi-level coordinated operation optimization of multi-park integrated energy systems considering categorized demand response and uncertainty: A unified adaptive robust optimization approach
Online verification of adjustable robust optimization for electric hydrogen integrated energy systems with comprehensive demand response
Color Image Encryption Based on Five-Dimensional Continuous Hyperchaotic System and Optimized Arnold Algorithm
PTPRK promotes resiniferatoxin-induced postherpetic neuralgia via activating DUSP1/p38 MAPK signaling pathway in dorsal root ganglia
GPX4: A Key Regulator of Mitochondrial Function and Glycolysis in Pulmonary Artery Smooth Muscle Cells
Dynamic aggregation strategy of distributed energy in multi-virtual power plants considering demand side changes
Offset-controlled plane dynamics in dual memristors-radiated discrete Hopfield neuron
The Secondary Frequency Control Framework with Electric Vehicles Based on Integral Event-Triggered Observers: A State Space Model Approach
Cross-channel image chain scrambling encryption algorithm using two memristor-based twin multi-scroll hyperchaotic systems
Path Planning and Distributed Control of Uncrewed Aerial Vehicle Systems in Dynamic Environments
Probabilistic resilience assessment framework for cyber-physics multi-microgrids systems considering uncertainty
Dominant Instability Mode Identification of Power System under Multi-Feature Fusion
Cyber Resilience Assessment of UAV swarm under Dynamic Attacks
Modelling for assessing the compulsory vaccination strategy against highly pathogenic avian influenza in a poultry farm of China
Prediction of Remaining Useful Life of Rolling Bearings Based on Multiscale Efficient Channel Attention CNN and Bidirectional GRU
Residential net load interval prediction based on stacking ensemble learning
Collective dynamics of adaptive memristor synapse-cascaded neural networks based on energy flow
Robust Coordinated Planning of Multi-Region Integrated Energy Systems With Categorized Demand Response
Multiscale permutation entropy based on natural visibility graph and its application to rolling bearing fault diagnosis
A unified robust planning framework for hydrogen energy multi-scale regulation of integrated energy system
Four Novel Dual Discrete Memristor-Coupled Hyperchaotic Maps
Bionic modeling and dynamics analysis of heterogeneous brain regions connected by memristive synaptic crosstalk
Dual memristors-radiated discrete Hopfield neuron with complexity enhancement
Energy-based initials-boosted firings in memristor synapse-coupled bi-mRulkov neuron network
Distributed state-of-charge and power balance estimation for aggregated battery energy storage systems with EV aggregators
UAV Small Target Detection in Complex Scenes Based on Improved YOLOv8s
Estimation-Correction Modeling and Chaos Control of Fractional-Order Memristor Load Buck-Boost Converter
A novel three-inflection-point sliding mode control framework for forward-tilting morphing aerospace vehicle with performance constraints and actuator faults