Intelligent data-analytics for condition monitoring : smart grid applications /: smart grid applications. (2021)

• Record Type: Book
• Further Information: Note: Hasmat Malik, Nuzhat Fatema, Atif Iqbal.
• Authors: Malik, Hasmat; Fatema, Nuzhat; Iqbal, Atif
• Contents: 1. Advances in Machine Learning and Data Analytics PART A: Intelligent Data Analytics for Classification in Smart Grid 2. 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 ELM 6. Intelligent Data Analytics for Transmission Line Fault Diagnosis Using EEMD Based Multiclass SVM and PSVM PART B: Intelligent Data Analytics for Forecasting in Smart Grid 7. 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) Network 9. 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
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 621.31042; Smart power grids -- Data processing; Electric machinery -- Monitoring; Smart power grids -- Automatic control
• Languages: English
• ISBNs: 9780323855112
• Related ISBNs: 9780323855105
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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