TY - BOOK ID - 133750229 TI - Signal Analysis in Power Systems PY - 2020 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - History of engineering & technology KW - convolutional neural networks KW - multi-headed CNN KW - CNN-LSTM KW - forecasting KW - solar output KW - sliding window KW - renewable energy KW - data mining KW - cluster analysis KW - power quality KW - global power quality index KW - electrical power network KW - distributed generation KW - mining industry KW - ward algorithm KW - different working conditions KW - power supply restoration KW - power supply outages KW - failures KW - time intervals KW - obtaining information KW - information recognition KW - connection harmonization KW - virtual power plant KW - distributed energy resources KW - energy storage systems KW - grid codes KW - power systems KW - smart grids KW - prosumer KW - business model KW - economic efficiency KW - sensitivity analysis UR - https://www.unicat.be/uniCat?func=search&query=sysid:133750229 AB - The analysis of power systems under various conditions represents one of the most important and complex tasks in electrical power engineering. Studies in this area are necessary to ensure that the reliability, efficiency, and stability of the power system is not adversely affected. This issue is devoted to reviews and applications of modern methods of signal processing used to analyze the operation of a power system and evaluate the performance of the system in all aspects. Smart grids as an emerging research field of the current decade is the focus of this issue. Monitoring capability with data integration, advanced analysis of support system control, enhanced power security and effective communication to meet the power demand, efficient energy consumption and minimum costs, and intelligent interaction between power-generating and -consuming devices depends on the selection and implementation of advanced signal analysis and processing techniques. ER -