Applications of Computational Intelligence to Power Systems

• Автор: Kodogiannis, Vassilis S. (auth)
• Формат: Електронний ресурс Частина з книги
• Мова: Англійська
• Опубліковано: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Предмети: History of engineering & technology; localization; reactive power optimization; model predictive control; CNN; long short term memory (LSTM); meter allocation; particle update mode; combined economic emission/environmental dispatch; glass insulator; emission dispatch; genetic algorithm; grid observability; defect detection; feature extraction; parameter estimation; incipient cable failure; active distribution system; boiler load constraints; multivariate time series; particle swarm optimization; inertia weight; VMD; NOx emissions constraints; spatial features; penalty factor approach; self-shattering; differential evolution algorithm; short term load forecasting (STLF); genetic algorithm (GA); economic load dispatch; least square support vector machine; Combustion efficiency; electricity load forecasting
• Онлайн доступ: DOAB: download the publication; DOAB: description of the publication

Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation...