Harmonic Estimation and Forecasting in Sparsely Monitored Uncertain Power Systems: Probabilistic and Machine Learning Approaches (Springer Theses)

Nonlinear Robust Control and Optimisation of Microgrids (Springer Theses)

Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems (Power Electronics and Power Systems)

Springer

Sparsity-Constrained Linear Dynamical Systems: From Compressed Sensing to Control Theory (Springer Tracts in Electrical and Electronics Engineering)

Springer

Data-driven Optimization and Control for Autonomous Energy Systems

Intelligent Prognostics for Engineering Systems with Machine Learning Techniques (Advanced Research in Reliability and System Assurance Engineering)

CRC Press

Power System State Estimation and Forecasting: Fundamentals and Advanced Topics

Springer

Springer - Advanced Hierarchical Control of DC Microgrids

Springer

Machine Learning and Optimization for Engineering Design (Engineering Optimization: Methods and Applications)

Springer Advances in Nonlinear Observer Design Book

Springer

Machine Learning for Econometrics and Related Topics (Studies in Systems, Decision and Control, 508)

Stability Analysis, Flexible Control and Optimal Operation of Microgrid

Energy Conversion Systems-Based Artificial Intelligence: Applications and Tools (Energy Systems in Electrical Engineering)

Computational and Machine Learning Tools for Archaeological Site Modeling (Springer Theses)

Machine Learning in Educational Sciences: Approaches, Applications and Advances

Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)

Flexible Load Control for Enhancing Renewable Power System Operation (Power Systems)

Application of Machine Learning in Slope Stability Assessment

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases and Emerging Challenges

Tsunami Data Assimilation for Early Warning (Springer Theses)

Springer

Tsunami Data Assimilation for Early Warning (Springer Theses)

Springer

Modernization of Electric Power Systems: Energy Efficiency and Power Quality

Handbook of Trustworthy Federated Learning (Springer Optimization and Its Applications)

Hesitant Fuzzy Set: Theory and Extension (Computational Intelligence Methods and Applications)

Springer

Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty: Theories, Methods and Applications (Uncertainty and Operations Research)

Springer