Michael Giesselmann
Michael Giesselmann
Professor of Electrical & Computer Engineering, Texas Tech University
Verified email at - Homepage
Cited by
Cited by
Using neural networks to estimate wind turbine power generation
S Li, DC Wunsch, EA O'Hair, MG Giesselmann
IEEE Transactions on energy conversion 16 (3), 276-282, 2001
Comparative analysis of regression and artificial neural network models for wind turbine power curve estimation
S Li, DC Wunsch, E O’Hair, MG Giesselmann
J. Sol. Energy Eng. 123 (4), 327-332, 2001
Reliability-constrained self-organization and energy management towards a resilient microgrid cluster
M He, M Giesselmann
2015 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2015
Economic dispatch optimization of microgrid in islanded mode
S Ramabhotla, S Bayne, M Giesselmann
International energy and sustainability conference 2014, 1-5, 2014
Electrical behavior of a simple helical flux compression generator for code benchmarking
A Neuber, J Dickens, JB Cornette, K Jamison, ER Parkinson, ...
IEEE transactions on plasma science 29 (4), 573-581, 2001
Experimental and analytical investigation of a pulsed power conditioning system for magnetic flux compression generators
M Giesselmann, T Heeren, E Kristiansen, JG Kim, JC Dickens, ...
IEEE Transactions on Plasma Science 28 (5), 1368-1376, 2000
Extended Kalman filter training of neural networks on a SIMD parallel machine
S Li, DC Wunsch, E O'Hair, MG Giesselmann
journal of Parallel and Distributed Computing 62 (4), 544-562, 2002
Rapid capacitor charger
M Giesselmann, T Heeren
Conference Record of the Twenty-Fifth International Power Modulator …, 2002
Dynamic Voltage Restorer (DVR) with a novel robust control strategy
S DaneshvarDehnavi, C Negri, S Bayne, M Giesselmann
ISA transactions 121, 316-326, 2022
Analysis and review of grid connected battery in wind applications
AS Subburaj, P Kondur, SB Bayne, MG Giesselmann, MA Harral
2014 Sixth Annual IEEE Green Technologies Conference, 1-6, 2014
Operation and maintenance cost optimization in the grid connected mode of microgrid
S Ramabhotla, S Bayne, M Giesselmann
2016 IEEE Green Technologies Conference (GreenTech), 56-61, 2016
Rapid capacitor charger for 10 Hz operation of a low-inductance compact Marx generator
M Giesselmann, B McHale
2005 IEEE Pulsed Power Conference, 1184-1187, 2005
Averaged and cycle by cycle switching models for buck, boost, buck-boost and cuk converters with common average switch model
MG Giesselmann
IECEC-97 Proceedings of the Thirty-Second Intersociety Energy Conversion …, 1997
Wind turbine power estimation by neural networks with Kalman filter training on a SIMD parallel machine
S Li, DC Wunsch, E O'Hair, MG Giesselmann
IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999
100-kV high voltage power supply with bipolar voltage output and adaptive digital control
MG Giesselmann, TT Vollmer, WJ Carey
IEEE Transactions on Plasma Science 42 (10), 2913-2918, 2014
High voltage impulse generator using HV-IGBTs
M Giesselmann, B Palmer, A Neuber, J Donlon
2005 IEEE Pulsed Power Conference, 763-766, 2005
Compact, high power capacitor charger
M Giesselmann, T Heeren, T Helle
Digest of Technical Papers. PPC-2003. 14th IEEE International Pulsed Power …, 2003
’Hair, and Michael G. Giesselmann,“Using Neural Networks to Estimate Wind Turbine Power Generation,”
S Li, DC Wunsch, AO Edgar
IEEE Transactions on energy conversion 16 (3), 276-282, 2001
Neural network for wind power generation with compressing function
S Li, DC Wunsch, E O'Hair, MG Giesselmann
Proceedings of International Conference on Neural Networks (ICNN'97) 1, 115-120, 1997
Failure modes of 15-kV SiC SGTO thyristors during repetitive extreme pulsed overcurrent conditions
JA Schrock, EA Hirsch, S Lacouture, MD Kelley, AV Bilbao, WB Ray, ...
IEEE Transactions on Power Electronics 31 (12), 8058-8062, 2016
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