Intelligent Data-Analytics for Condition Monitoring

Intelligent Data-Analytics for Condition Monitoring

Smart Grid Applications

Iqbal, Atif; Malik, Hasmat; Fatema, Nuzhat

Elsevier Science & Technology

03/2021

268

Mole

Inglês

9780323855105

15 a 20 dias

520

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1. Advances in Machine Learning and Data Analytics

PART A: Intelligent Data Analytics for Classification in Smart Grid2. Intelligent Data Analytics for PV Fault diagnosis Using Deep Convolutional Neural Network (ConvNet/CNN)3. Intelligent Data Analytics for Power Transformer Health Monitoring Using Modified Fuzzy Q Learning (MFQL)4. Intelligent Data Analytics for Induction Motor Using Gene Expression Programming (GEP)5. Intelligent Data Analytics for Power Quality Disturbance Analysis Using Multi-Class ELM6. Intelligent Data Analytics for Transmission Line Fault Diagnosis Using EEMD Based Multiclass SVM and PSVM

PART B: Intelligent Data Analytics for Forecasting in Smart Grid7. Intelligent Data Analytics for Global Solar Radiation Forecasting for Solar Power Production Using Deep Learning Neural Network (DLNN)8. Intelligent Data Analytics for Wind Speed Forecasting for Wind Power Production Using Long Short-Term memory (LSTM) Network9. Intelligent Data Analytics for Time-Series Load Forecasting Using Fuzzy Reinforcement Learning (FRL)10. Intelligent Data Analytics for Battery Charging/Discharging Forecasting Using Semi-supervised and Unsupervised Extreme Learning Machines
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actual operating condition; artificial intelligence; artificial neural network; Box-Cox transformation; classification; condition monitoring; ConvNet/CNN; data analytics; data preprocessing; dataset sources; deep neural network; demonstration; DGA; diagnosis; EEMD; ELM; EMD; failure analysis; fault classification; fault detection and diagnosis; fault diagnosis; FDD; feature extraction; feature selection; forecasting; fuzzy reinforcement learning; gene expression programming; health indicator; IMFs; induction motor; J48 algorithm; lithium-ion battery; long short-term memory (LSTM); MFQL; MLP; MLP-ANN; online monitoring; open access; power quality; power system; prediction; PSVM; PV module failure; PV system; remaining-useful-life (RUL); software; solar radiation; SVM; transmission line; vertical power plant; visualization; WECS; wind speed