His scientific interests lie mostly in Control theory, Wind power, Renewable energy, Wind speed and AC power. His Control theory study frequently involves adjacent topics like Voltage. His work deals with themes such as Permanent magnet synchronous generator, Power optimizer, Voltage regulation, Electricity generation and Fault, which intersect with Wind power.
The study incorporates disciplines such as Electric power system and Energy storage in addition to Renewable energy. His Windmill research extends to the thematically linked field of Wind speed. His AC power research integrates issues from Power electronics and Inverter.
His main research concerns Control theory, Wind power, Electric power system, Voltage and Electrical engineering. Naomitsu Urasaki interconnects Control engineering and Permanent magnet synchronous generator in the investigation of issues within Control theory. His study in Wind power is interdisciplinary in nature, drawing from both Maximum power point tracking, Power optimizer and Wind speed.
His studies deal with areas such as Control system, Power control, Automotive engineering, Automatic frequency control and Electricity generation as well as Electric power system. His work in Voltage addresses issues such as Electronic engineering, which are connected to fields such as Current. Within one scientific family, Naomitsu Urasaki focuses on topics pertaining to Energy storage under Renewable energy, and may sometimes address concerns connected to Capacitor.
The scientist’s investigation covers issues in Control theory, Electric power system, Wind power, Control theory and Smoothing. His Control theory study combines topics from a wide range of disciplines, such as Permanent magnet synchronous generator, Power control, Power optimizer, Control engineering and Fuzzy logic. His work in Control engineering tackles topics such as Distributed generation which are related to areas like AC power, Optimal control and Transformer.
His Electric power system research incorporates elements of Reliability engineering, Voltage regulation, Power electronics, Automatic frequency control and Operations research. His work in Wind power covers topics such as Pumped-storage hydroelectricity which are related to areas like Base load power plant. His work in the fields of Control theory, such as Robust control, PID controller and Fuzzy control system, intersects with other areas such as Pulse-amplitude modulation.
His primary areas of investigation include Control theory, Wind power, Electric power system, Power optimizer and Permanent magnet synchronous generator. He is involved in the study of Control theory that focuses on Control theory in particular. His research in Wind power intersects with topics in Control engineering and Distributed generation.
His biological study deals with issues like Diesel generator, which deal with fields such as Power control, Control system, Frequency deviation and Model predictive control. Naomitsu Urasaki has included themes like Smoothing and Wind speed in his Power optimizer study. His research in Smoothing tackles topics such as Energy storage which are related to areas like Renewable energy.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Output power leveling of wind turbine Generator for all operating regions by pitch angle control
T. Senjyu;R. Sakamoto;N. Urasaki;T. Funabashi.
IEEE Transactions on Energy Conversion (2006)
Optimal Distribution Voltage Control and Coordination With Distributed Generation
T. Senjyu;Y. Miyazato;A. Yona;N. Urasaki.
IEEE Transactions on Power Delivery (2008)
A Coordinated Control Method to Smooth Wind Power Fluctuations of a PMSG-Based WECS
A Uehara;A Pratap;T Goya;T Senjyu.
IEEE Transactions on Energy Conversion (2011)
Output levelling of renewable energy by electric double-layer capacitor applied for energy storage system
T. Kinjo;T. Senjyu;N. Urasaki;H. Fujita.
IEEE Transactions on Energy Conversion (2006)
A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days Method
P. Mandal;T. Senjyu;N. Urasaki;T. Funabashi.
IEEE Transactions on Power Systems (2007)
A Hybrid Smart AC/DC Power System
K Kurohane;T Senjyu;A Yona;N Urasaki.
IEEE Transactions on Smart Grid (2010)
A neural network based several-hour-ahead electric load forecasting using similar days approach
Paras Mandal;Tomonobu Senjyu;Naomitsu Urasaki;Toshihisa Funabashi.
International Journal of Electrical Power & Energy Systems (2006)
Optimal configuration of power generating systems in isolated island with renewable energy
Tomonobu Senjyu;Daisuke Hayashi;Atsushi Yona;Naomitsu Urasaki.
Renewable Energy (2007)
An adaptive dead-time compensation strategy for voltage source inverter fed motor drives
N. Urasaki;T. Senjyu;K. Uezato;T. Funabashi.
IEEE Transactions on Power Electronics (2005)
Adaptive Dead-Time Compensation Strategy for Permanent Magnet Synchronous Motor Drive
N. Urasaki;T. Senjyu;K. Uezato;T. Funabashi.
IEEE Transactions on Energy Conversion (2007)
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