Machine Learning and Data Mining Applications in Power Systems

• Other Authors: Leonowicz, Zbigniew (Editor), Jasiński, Michał (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Technology: general issues; History of engineering & technology; Energy industries & utilities; virtual power plant (VPP); power quality (PQ); global index; distributed energy resources (DER); energy storage systems (ESS); power systems; long-term assessment; battery energy storage systems (BESS); smart grids; conducted disturbances; power quality; supraharmonics; 2-150 kHz; Power Line Communications (PLC); intentional emission; non-intentional emission; mains signalling; virtual power plant; data mining; clustering; distributed energy resources; energy storage systems; short term conditions; cluster analysis (CA); nonlinear loads; harmonics, cancellation, and attenuation of harmonics; waveform distortion; THDi; low-voltage networks; optimization techniques; different batteries; off-grid microgrid; integrated renewable energy system; cluster analysis; K-means; agglomerative; ANFIS; fuzzy logic; induction generator; MPPT; neural network; renewable energy; variable speed WECS; wind energy conversion system; wind energy; frequency estimation; spectrum interpolation; power network disturbances; COVID-19; time-varying reproduction number; social distancing; load profile; demographic characteristic; household energy consumption; demand-side management; energy management; time series; Hidden Markov Model; short-term forecast; sparse signal decomposition; supervised dictionary learning; dictionary impulsion; singular value decomposition; discrete cosine transform; discrete Haar transform; discrete wavelet transform; transient stability assessment; home energy management; binary-coded genetic algorithms; optimal power scheduling; demand response; Data Injection Attack; machine learning; critical infrastructure; smart grid; water treatment plant; power system; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient pow...