Machine Learning for Energy Systems

• Other Authors: Sidorov, Denis N. (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: History of engineering & technology; vacuum tank degasser; rule extraction; extreme learning machine; classification and regression trees; wind power: wind speed: T-S fuzzy model: forecasting; linearization; machine learning; photovoltaic output power forecasting; hybrid interval forecasting; relevance vector machine; sample entropy; ensemble empirical mode decomposition; high permeability renewable energy; blockchain technology; energy router; QoS index of energy flow; MOPSO algorithm; scheduling optimization; Adaptive Neuro-Fuzzy Inference System; insulator fault forecast; wavelet packets; time series forecasting; power quality; harmonic parameter; harmonic responsibility; monitoring data without phase angle; parameter estimation; blockchain; energy internet; information security; forecasting; clustering; energy systems; classification; integrated energy system; risk assessment; component accident set; vulnerability; hybrid AC/DC power system; stochastic optimization; renewable energy source; Volterra models; wind turbine; maintenance; fatigue; power control; offshore wind farm; Interfacial tension; transformer oil parameters; harmonic impedance; traction network; harmonic impedance identification; linear regression model; data evolution mechanism; cast-resin transformers; abnormal defects; partial discharge; pattern recognition; hierarchical clustering; decision tree; industrial mathematics; inverse problems; intelligent control; artificial intelligence; energy management system; smart microgrid; optimization; Volterra equations; energy storage; load leveling; cyber-physical systems
• Online Access: DOAB: download the publication; DOAB: description of the publication

This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and...