Intro
Preface
Contents
About the Editors
1 Power Quality Disturbance Identification in High Noise Environment Based on Feature Fusion
1.1 Introduction
1.2 Influence of High Noise Environment on Power Quality Disturbance Identification
1.3 Feature Fusion Based on Discriminant Correlation Analysis (DCA) Method
1.3.1 Discriminant Correlation Analysis (DCA) Method
1.3.2 Feature Extraction
1.4 Power Quality Disturbance Identification in High Noise Environment Based on Feature Fusion
1.4.1 Correlation Computation Based on Mutual Information
1.4.2 Weighted Voting

1.4.3 Power Quality Disturbance Identification in High Noise Environment Based on Feature Fusion
1.5 Simulation
1.6 Experimental Results and Analysis
1.7 Conclusion
References
2 Binary Tumbleweed Algorithm for Application of Feature Selection
2.1 Introduction
2.2 Related Work
2.2.1 Tumbleweed Algorithm
2.2.2 Binary Tumbleweed Algorithm
2.3 Feature Selection
2.3.1 Dataset Description
2.3.2 KNN and K-Fold
2.3.3 Evaluation Standard
2.4 Simulation Experiments
2.5 Conclusions
References
3 New Optimization Method Based on Binary Tumbleweed Algorithm

3.1 Introduction
3.2 Tumbleweed Algorithm
3.2.1 Seedling Growth Stage
3.2.2 Seedling Propagation Stage
3.3 Binary Tumbleweed Algorithm
3.4 Experiments Results and Analysis
3.5 Conclusion
References
4 Chaos Rafflesia Optimization Algorithm
4.1 Introduction
4.2 Materials and Methods
4.2.1 Insect Attraction Stage
4.2.2 Swallow the Insect Stage
4.2.3 Propagation Stage
4.3 Improved ROA Algorithm (CROA)
4.3.1 Chaos Map
4.3.2 Random Walk Strategy
4.4 Experiment and Comparison Results
4.4.1 Comparison Experiments

4.4.2 Comparison with Other Heuristic Algorithms
4.5 Conclusion
References
5 A Brief Overview of Recent Energy-Saving Researches in Smart Homes
5.1 Introduction
5.2 Smart Home Energy-Saving Architecture
5.3 Smart Home Energy-Saving Schemes
5.4 Research on Smart Home Algorithm
5.5 Discussion
References
6 An Overview of Recent Research on IoT-Based Energy Management System in Smart Homes
6.1 Introduction
6.2 IoT-Based HEMS Architecture
6.2.1 Energy Supply Side
6.2.2 Management and Control Center
6.2.3 Device Side
6.3 Data Acquisition Module

6.4 Communication Module
6.5 Management and Optimization Module
6.6 Discussion
6.7 Conclusion
References
7 Data Masking Analysis Based on Masked Autoencoders Architecture for Leaf Diseases Classification
7.1 Introduction
7.2 Materials and Methods
7.2.1 Research Workflow
7.2.2 MAE Architecture
7.2.3 Dataset
7.2.4 Metrics Evaluation
7.3 Results and Discussion
7.3.1 Results
7.3.2 Discussion
7.4 Conclusion
References
8 Chinese Named Entity Recognition Based BERT-Decoder-CRF in Turbine Generator Set Fault Diagnosis
8.1 Introduction