Prof. Hui Liu is a professor of Robotics & Artificial Intelligence, Central South University, China; Vice dean, Faculty of Traffic & Transportation Engineering, Central South University, China. He holds double PhD degrees from the Central South University in China and the University of Rostock in Germany, and obtained habilitation degree on automation from the University of Rostock. He published over 80 articles in leading journals, as well as four monographs in Elsevier or Springer press. He holds 56 Chinese invention patents in the fields of artificial intelligence, smart cities, non-intrusive load monitoring, smart grid, and time series big data (as the first inventor). He is an associate editor of the journal Transportation Safety & Environment (Oxford University Press), and a committee member of more than 30 international flagship academic conferences.Mr. Chengming Yu is Scientist in the research group ‘Non-Intrusive Load Monitoring & Artificial Intelligence,’ CentralSouth University, China.Mr. Haiping Wu is Scientist in the research group ‘Non-Intrusive Load Monitoring & Artificial Intelligence,’ Central South University, China.

• Introduction.- Smart non-intrusive device recognition based on physical methods.- Smart non-intrusive device recognition based on intelligent single-label classification methods.-Smart non-intrusive device recognition based on intelligent multi-label classification methods

Prof. Hui Liu is a professor of Robotics & Artificial Intelligence, Central South University, China; Vice dean, Faculty of Traffic & Transportation Engineering, Central South University, China. He holds double PhD degrees from the Central South University in China and the University of Rostock in Germany, and obtained habilitation degree on automation from the University of Rostock. He published over 80 articles in leading journals, as well as four monographs in Elsevier or Springer press. He holds 56 Chinese invention patents in the fields of artificial intelligence, smart cities, non-intrusive load monitoring, smart grid, and time series big data (as the first inventor). He is an associate editor of the journal Transportation Safety & Environment (Oxford University Press), and a committee member of more than 30 international flagship academic conferences.Mr. Chengming Yu is Scientist in the research group ‘Non-Intrusive Load Monitoring & Artificial Intelligence,’ CentralSouth University, China.Mr. Haiping Wu is Scientist in the research group ‘Non-Intrusive Load Monitoring & Artificial Intelligence,’ Central South University, China.

• Introduction.- Smart non-intrusive device recognition based on physical methods.- Smart non-intrusive device recognition based on intelligent single-label classification methods.-Smart non-intrusive device recognition based on intelligent multi-label classification methods

Prof. Hui Liu is a professor of Robotics & Artificial Intelligence, Central South University, China; Vice dean, Faculty of Traffic & Transportation Engineering, Central South University, China. He holds double PhD degrees from the Central South University in China and the University of Rostock in Germany, and obtained habilitation degree on automation from the University of Rostock. He published over 80 articles in leading journals, as well as four monographs in Elsevier or Springer press. He holds 56 Chinese invention patents in the fields of artificial intelligence, smart cities, non-intrusive load monitoring, smart grid, and time series big data (as the first inventor). He is an associate editor of the journal Transportation Safety & Environment (Oxford University Press), and a committee member of more than 30 international flagship academic conferences.Mr. Chengming Yu is Scientist in the research group ‘Non-Intrusive Load Monitoring & Artificial Intelligence,’ CentralSouth University, China.Mr. Haiping Wu is Scientist in the research group ‘Non-Intrusive Load Monitoring & Artificial Intelligence,’ Central South University, China.

• Introduction.- Smart non-intrusive device recognition based on physical methods.- Smart non-intrusive device recognition based on intelligent single-label classification methods.-Smart non-intrusive device recognition based on intelligent multi-label classification methods