CAP Seminar Series


Title: Smart Energy Solutions for Renewable Energy Systems

Speaker: Qiuwei Wu, Technical University of Denmark (DTU)

Venue: EEE 1109B (CAP seminar room)

Date and Time: Wednesday 27/02/2019 14:00-15:00

AbstractEnvironmental concerns and the quest for energy supply independence have resulted in increasing penetration of renewable energy sources (RESs) and a move toward electrification of transportation and heating. With the long term goal of developing renewable based energy systems, the integration of electricity, heat and gas systems has become necessary in order to realize efficient and secure operation of the future renewable based energy systems. The interactions among electricity, heat and gas sectors can provide further flexibility to handle the fluctuations from renewables. In the talk, the smart energy solutions for the 2050 Danish energy systems will be introduced which integrates multi-energy sectors. In the end, the Power2Gas technology will be introduced and its technical and economic feasibility in the future energy system will be discussed.

BiographyQiuwei Wu (M’08-SM’15) obtained the PhD degree in Power System Engineering from Nanyang Technological University, Singapore, in 2009. He was a senior R&D engineer with Vestas Technology R&D Singapore Pte Ltd from Mar. 2008 to Oct. 2009. He has been working at Department of Electrical Engineering, Technical University of Denmark (DTU) since Nov. 2009 (PostDoc Nov. 2009-Oct. 2010, Assistant Professor Nov. 2010-Aug. 2013, Associate Professor since Sept. 2013). He was a visiting scholar at Department of Industrial Engineering & Operations Research (IEOR), University of California, Berkeley, from Feb. 2012 to May 2012 funded by the Danish Agency for Science, Technology and Innovation (DASTI), Denmark. He was a visiting professor named by Y. Xue, an Academician of Chinese Academy of Engineering, at Shandong University, China, from Nov. 2015 to Dec. 2017. He was a visiting scholar at School of Engineering and Applied Sciences, Harvard University from Nov. 2017 to Oct. 2018 funded by the Otto Monsteds Fond. Currently, he is an adjunct professor at Shandong University. His research interests are power system operation and control with renewables, including modeling and control of wind power, active distribution networks, and operation and real time control of integrated energy systems. He has published 92 SCI indexed journal papers, 25 other journal papers, and 73 conference papers. He is an Editor of IEEE Transactions on Smart Grid and IEEE Power Engineering Letters. He is also an Associate Editor of International Journal of Electrical Power and Energy Systems, and Journal of Modern Power Systems and Clean Energy. He is a Subject Editor for IET Renewable Power Generation, and IET Generation, Transmission & Distribution.

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lanzonTitleNegative Imaginary Systems Theory: An overview

SpeakerAlexander Lanzon, University of Manchester

Venue: EEE 1109B (CAP seminar room)

Date and Time: Wednesday 20 March 2019, 14:00-15:00

AbstractThe negative imaginary notion broadly means that the (not necessarily bounded) frequency response of a transfer function (which is analytic in the open right half plane) has a negative imaginary part for all positive frequencies, i.e. the positive frequency branch of the Nyquist plot lies below (or on) the real axis. Negative imaginary systems theory is concerned with robust control systems analysis and synthesis for feedback interconnections that include such systems. Common examples of such systems include inertial systems that are actuated via forces or torques and that need regulation of co-located position or angular displacements. This talk will overview a range of results in the theory of negative imaginary systems, gradually building up the theory from its foundations and its underpinning notions to robust stability analysis and synthesis results. Some motivation examples will be provided along the way.

BiographyAlexander Lanzon received his Ph.D. degree in Control Engineering and his M.Phil. degree in Robot Control from the University of Cambridge in 2000 and 1997 respectively and received his B.Eng.(Hons). degree in Electrical and Electronic Engineering from the University of Malta in 1995. He has held research and academic positions at Georgia Institute of Technology and the Australian National University, and industrial positions at ST-Microelectronics (Malta) Ltd., Yaskawa Denki (Tokyo) Ltd. and National ICT Australia Ltd. In 2006, he joined the University of Manchester where he now holds the Chair in Control Engineering. Alexander is a Fellow of the Institute of Mathematics and its Applications, the Institute of Measurement and Control and the Institution of Engineering and Technology. He has served as an Associate Editor of the IEEE Transactions on Automatic Control from 2012 to 2018, and as a Subject Editor of the International Journal of Robust and Nonlinear Control from 2012 to 2015. His research interests include the fundamentals of robust feedback control theory for both linear and nonlinear dynamics, and the application of robust control systems design to innovative mechatronics and robotics problems.

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CalafioreTitle: Topics in Financial Data Science

Speaker: Giuseppe Calafiore, Politecnico di Torino

Venue: EEE 408

Date and Time: Tuesday 26/03/2019 10:00:00-12:00:00 (Part I) and Wednesday 27/03/2019 10:00:00-12:00:00 (Part II)

Abstract: Data science finds a natural field of application in finance, a domain in which an abundance of data is available.  In this short course we shall discuss some selected topics related to the analysis of market data, the effective estimation of key quantities of interest in investment decisions and in risk analysis, and their use in optimization for financial decision making.

ProgramTue. March 26 (1.5 hrs): Introduction. Financial price and return series. Making sense of high dimensional data. Projections. Principal Component Analysis. Factor Models. Sparse PCA. Covariance estimation. Shrinkage. Sparse precision models. Wed. March 27 (1.5 hrs): Return/risk tradeoff models. Portfolio optimization. Transaction costs, market impact, diversification. Robustness.

Biography: Giuseppe C. Calafiore, is a full professor at DET, Politecnico di Torino, where he coordinates the Systems and Data Science lab, and an associate fellow of the IEIIT-CNR. Dr. Calafiore held several visiting positions at international institutions: at the Information Systems Laboratory (ISL), Stanford University, California, in 1995; at the Ecole Nationale Supérieure de Techniques Avanceés (ENSTA), Paris, in 1998; and at the University of California at Berkeley, in 1999, 2003, 2007, 2017 and 2018. He was a Senior Fellow at the Institute of Pure and Applied Mathematics (IPAM), University of California at Los Angeles, in 2010. Dr. Calafiore is the author of more than 180 journal and conference proceedings papers, and of eight books. He is a Fellow of the IEEE. He received the IEEE Control System Society ``George S. Axelby'' Outstanding Paper Award in 2008.  His research interests are in the fields of convex optimization, randomized algorithms, identification, and control of uncertain systems, with applications ranging from finance and economic systems to robust control, machine learning, and robotics. Dr. Calafiore currently teaches a MS course on Convex Optimization and MS course on Optimization for Machine Learning at PoliTo, and a Master course on Financial Data Science at the Berkeley Haas Business School.

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Past talks of CAP Seminar Series