TY - GEN
T1 - AI/ML and Cybersecurity in Power Electronics
AU - Ozpineci, Burak
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2022/12/1
Y1 - 2022/12/1
N2 - Artificial intelligence and machine learning (AI/ML) have been applied to power electronics and electric drives research for more than 20 years for design, control, estimation, and prediction. With the recent interest in AI/ML for all aspects of smart and connected daily life, the interest in AI/ML applications of power electronics has also increased. With the increase in the number of grid-connected power electronics systems and solar inverters, there is also more interest in cyber physical security of these systems. This opening session of FEPPCON XI looked into the past work and also presented future possibilities for PELS in these areas.
AB - Artificial intelligence and machine learning (AI/ML) have been applied to power electronics and electric drives research for more than 20 years for design, control, estimation, and prediction. With the recent interest in AI/ML for all aspects of smart and connected daily life, the interest in AI/ML applications of power electronics has also increased. With the increase in the number of grid-connected power electronics systems and solar inverters, there is also more interest in cyber physical security of these systems. This opening session of FEPPCON XI looked into the past work and also presented future possibilities for PELS in these areas.
UR - http://www.scopus.com/inward/record.url?scp=85147605824&partnerID=8YFLogxK
U2 - 10.1109/MPEL.2022.3222584
DO - 10.1109/MPEL.2022.3222584
M3 - Article
AN - SCOPUS:85147605824
SN - 2329-9207
VL - 9
SP - 38
EP - 40
JO - IEEE Power Electronics Magazine
JF - IEEE Power Electronics Magazine
ER -
