Power quality daily predictions in smart off-grids using differential, deep and statistics machine learning models processing NWP-data

Author:

Zjavka LadislavORCID

Funder

Vysoká Škola Bánská - Technická Univerzita Ostrava

Publisher

Elsevier BV

Subject

Energy (miscellaneous)

Reference32 articles.

1. Classification of power quality events – a review;Kumar Saini;Electrical Power and Energy Systems,2012

2. Data-driven multi-hidden markov model-based power quality disturbance prediction that incorporates weather conditions;Xiao;IEEE Trans. Power Syst.,2019

3. Energy management in solar cells powered wireless sensor networks for quality of service optimization;Escolar;Personal Ubiquitous Comput.,2014

4. Integrating energy smart grid's ontologies through multi-objective particle swarm optimization algorithm with competitive mechanism;Xue;Sustain. Energy Technol. Assessments,2022

5. A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances;Khokhar;Renew. Sustain. Energy Rev.,2015

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