Machine Learning for Energy Systems

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...

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Detalles Bibliográficos
Otros Autores:	Sidorov, Denis N. (Editor)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Materias:	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
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654784406719