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ANFIS microgrid energy management system synthesis by hyperplane clustering supported by neurofuzzy min–max classifier

pubblicato su: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE - 2019

Leonori Stefano, Martino Alessio, Mascioli Fabio Massimo Frattale, Rizzi Antonello

Decentralized prediction of electrical time series in smart grids using long short-term memory neural networks

pubblicato su: Progress in Electromagnetics Research Symposium - 2019

Rosato A., Araneo R., Panella M.

Behavior of transformers interconnecting microgrid and prosumers

pubblicato su: 2019 IEEE 20th International Conference on Dielectric Liquids (ICDL) - 2019

Muzi F., Calcara L., Pompili M., Sangiovanni S.

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2019 IEEE 20th International Conference on Dielectric Liquids (ICDL) (1) Apply 2019 IEEE 20th International Conference on Dielectric Liquids (ICDL) filter
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Keywords

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adaptive neurofuzzy inference systems (1) Apply adaptive neurofuzzy inference systems filter
decentralized prediction (1) Apply decentralized prediction filter
electrical time series (1) Apply electrical time series filter
energy management (1) Apply energy management filter
energy storage systems (1) Apply energy storage systems filter
hierarchical clustering (1) Apply hierarchical clustering filter
hyperplane clustering (1) Apply hyperplane clustering filter
Job shop scheduling (1) Apply Job shop scheduling filter
long short-term memory neural networks (1) Apply long short-term memory neural networks filter
Microgrids (1) Apply Microgrids filter
min–max neurofuzzy classifiers (1) Apply min–max neurofuzzy classifiers filter
optimal scheduling (1) Apply optimal scheduling filter
prosumers (1) Apply prosumers filter
real-time systems (1) Apply real-time systems filter
Renewable Energy Sources (1) Apply Renewable Energy Sources filter
transformers (1) Apply transformers filter

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