Isbn: 9783725878031 - advances in electrical power system quality (9 risultati)

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Hardback. Condizione: New.

Hardcover. Condizione: new. Hardcover. The following Reprint presents recent advances in the field of power quality, addressing the challenges posed by the integration of renewable sources, the development of electric mobility, and the expansion of smart grids. Modern power systems operate under increasingly dynamic and nonlinear conditions, where maintaining voltage quality, reducing harmonic distortion, and ensuring stability are essential requirements. The papers included in this Reprint focus on innovative control and optimization strategies aimed at improving performance and energy quality. An important role is played by intelligent techniques such as neural networks, fuzzy logic, machine learning, and evolutionary algorithms, which enable adaptive and efficient management of complex energy flows. The Reprint also highlights contributions on the use of active filters, energy management systems, and advanced signal processing methods to reduce disturbances and increase reliability. Both theoretical aspects and practical applications are addressed, relevant to renewable energy systems, electric drives, and modern industrial infrastructures. Overall, this Reprint provides a current perspective on emerging methods that support the development of more efficient, robust, and intelligent power systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condizione: new. Hardcover. The following Reprint presents recent advances in the field of power quality, addressing the challenges posed by the integration of renewable sources, the development of electric mobility, and the expansion of smart grids. Modern power systems operate under increasingly dynamic and nonlinear conditions, where maintaining voltage quality, reducing harmonic distortion, and ensuring stability are essential requirements. The papers included in this Reprint focus on innovative control and optimization strategies aimed at improving performance and energy quality. An important role is played by intelligent techniques such as neural networks, fuzzy logic, machine learning, and evolutionary algorithms, which enable adaptive and efficient management of complex energy flows. The Reprint also highlights contributions on the use of active filters, energy management systems, and advanced signal processing methods to reduce disturbances and increase reliability. Both theoretical aspects and practical applications are addressed, relevant to renewable energy systems, electric drives, and modern industrial infrastructures. Overall, this Reprint provides a current perspective on emerging methods that support the development of more efficient, robust, and intelligent power systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condizione: new. Hardcover. The following Reprint presents recent advances in the field of power quality, addressing the challenges posed by the integration of renewable sources, the development of electric mobility, and the expansion of smart grids. Modern power systems operate under increasingly dynamic and nonlinear conditions, where maintaining voltage quality, reducing harmonic distortion, and ensuring stability are essential requirements. The papers included in this Reprint focus on innovative control and optimization strategies aimed at improving performance and energy quality. An important role is played by intelligent techniques such as neural networks, fuzzy logic, machine learning, and evolutionary algorithms, which enable adaptive and efficient management of complex energy flows. The Reprint also highlights contributions on the use of active filters, energy management systems, and advanced signal processing methods to reduce disturbances and increase reliability. Both theoretical aspects and practical applications are addressed, relevant to renewable energy systems, electric drives, and modern industrial infrastructures. Overall, this Reprint provides a current perspective on emerging methods that support the development of more efficient, robust, and intelligent power systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The following Reprint presents recent advances in the field of power quality, addressing the challenges posed by the integration of renewable sources, the development of electric mobility, and the expansion of smart grids. Modern power systems operate under increasingly dynamic and nonlinear conditions, where maintaining voltage quality, reducing harmonic distortion, and ensuring stability are essential requirements. The papers included in this Reprint focus on innovative control and optimization strategies aimed at improving performance and energy quality. An important role is played by intelligent techniques such as neural networks, fuzzy logic, machine learning, and evolutionary algorithms, which enable adaptive and efficient management of complex energy flows. The Reprint also highlights contributions on the use of active filters, energy management systems, and advanced signal processing methods to reduce disturbances and increase reliability. Both theoretical aspects and practical applications are addressed, relevant to renewable energy systems, electric drives, and modern industrial infrastructures. Overall, this Reprint provides a current perspective on emerging methods that support the development of more efficient, robust, and intelligent power systems.…

Buch. Condizione: Neu. Advances in Electrical Power System Quality | Buch | Englisch | 2026 | MDPI AG | EAN 9783725878031 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.