KA1 – “Distribution Automation: Past Present and Future”, Professor Frank C. LAMBERT, Georgia Tech, USA 

The regulated utility model with a centralized grid where dispatched generation follows load has been very effective for over 100 years! The grid, however, is rapidly changing with Exponential Technologies (Computation, PV solar, wind, power semis, electric transportation, storage, microcontrollers, sensors, IoT, communication technologies, block-chain, cloud, autonomous control, deep learning) where traditional control paradigms are breaking down. Utilities would like to centrally control the ‘smart’ edge devices on the grid…but this is not scalable to millions of nodes. A decentralized paradigm will be required for the futur!

Professor Frank C. Lambert, P. E. is a Principal Research Engineer at Georgia Tech’s Center for Distributed Energy (CDE) and National Electric Energy Testing Research and Applications Center (NEETRAC). He is responsible for interfacing with members to develop and conduct research projects dealing with transmission and distribution issues. Mr. Lambert previously worked at Georgia Power Company for 22 years in transmission/distribution system design, construction, operation, maintenance and automation. He is serving as the 2018-2019 President Elect of the IEEE Power and Energy Society. Mr. Lambert holds a bachelors and M.S. degree in Electrical Engineering from the Georgia Institute of Technology.


KA2 – “Load profiling, modelling and control – prerequisite for flexible and cost effective operation of sustainable power systems” by Professor Jovica MILANOVIC, The University of Manchester, UK 

The future power/energy systems will be characterised by blurred boundaries between transmission and distribution system, by mix of wide range of electricity generating technologies (conventional hydro, thermal, nuclear and power electronic interfaced stochastic and intermittent renewable generation), responsive and highly flexible, typically power electronics interfaced, demand and storage with significant temporal and spatial uncertainty, proliferation of power electronics (HVDC, FACTS devices and new types of load devices) and significantly higher reliance on the use of measurement data including global (Wide Area Monitoring) signals for system identification, characterization and control and Information and Communication Technology embedded within the power system network and its components. This will increase controllability and observability of the system but may as a tradeoff result in different dynamic behaviour of the system and possibly, under some circumstances, deterioration of some aspects of its performance. This presentation discusses some of the most recent results that demonstrate the extent to which the advanced demand side management and sufficiently accurate load modelling offer to increase of the flexibility of the operation and cost effective modelling and analysis of the existing and future power systems. The presentation focuses on demand side management and load modelling, as illustrative examples, though the same approaches could be used to analyse the contribution of energy storage technologies to system flexibility as well as the influence of the accurate modelling of other system components on cost effective modelling and analysis power systems.

Professor Jovica V Milanovic
, received Dipl.Ing. and M.Sc. degrees from the University of Belgrade, Yugoslavia, Ph.D. degree from the University of Newcastle, Australia, and D.Sc. degree from The University of Manchester, UK. Prior to joining The University of Manchester, UK, in 1998, he worked with “Energoproject”, Engineering and Consulting Co. and the University of Belgrade in Yugoslavia, and the Universities of Newcastle and Tasmania in Australia. Currently, he is a Professor of Electrical Power Engineering and Deputy Head of Department of Electrical and Electronic Engineering at The University of Manchester, UK, and Visiting Professor at the University of Novi Sad and the University of Belgrade, Serbia. He was chairman of 4 international conferences, editor or member of editorial/technical boards of 70+ international journals and conferences, research project assessor for numerous international government research funding councils, member of 9 (convenor of 3) past or current IEEE/CIGRE/CIRED WG and consultant or member of advisory boards for several international companies. Professor Milanovic published over 500 research papers and reports, gave 20+ key-note speeches at international conferences and presented over 140 courses/tutorials and lectures to industry and academia around the world. Professor Milanovic is a Chartered Engineer in the UK, Foreign member of the Serbian Academy of Engineering Sciences, Fellow of the IET, Fellow of the IEEE, Distinguished IEEE PES Lecturer and currently serves on IEEE PES Governing Board as Regional Representative for Europe, Middle east and Africa and was a vice-chair of the IEEE PES Fellows Evaluation Committee.

KA3 – “Smart Sustainable Cities” by Professor Mariacristina ROSCIA, Universita di Bergamo, Italy 

Sustainable Development has been at the center of study and research activities to ensure the satisfaction of their needs without compromising those of future generations. With the development of technologies, the concept of Smart City was then added, that integrated with the definition of Sustainable Development led to the constitution of a new concept: Sustainable Intelligent Cities. It cannot be considered a Smart City without guaranteeing Sustainable Development, concepts that must be integrated and they have the quality of living as a common element. Often the smart city is defined only through the technologies that make it concrete, achievable, but it is a necessary but not sufficient condition. Therefore it is essential to start from the concept of sustainability integrated into the definition and constitution of Smart City, through: RES energy; intelligent transport systems; the design of cities based on social criteria; IoT and ICT; circular economies; Blockchain. In order to implement and rende.

Professor Maricristina Roscia, received the degree in Electrical Engineering in 1999 and obtained a PhD in 2004, at the University of Naples “Federico II”. Since 2019 is associate professor for the courses of “Electrical systems” and “Smart home into Smart City” at the University of Bergamo. Adjunct Professor for the Politecnico di Milano from 2004-2015 of the “Automation of transport systems” course; in 2003- 2004 of the “Electric transport systems I” course. The main research fields are electrical systems for transport and smart grids in the presence of distributed generation, especially from renewable sources, for the control and management of energy flows between the grid, Smart Home and Building (smart appliances). The systems related to electric mobility, intelligent lighting through sustainability aspects and electrified transport systems were jointly considered and integrated. these issues then saw in parallel the study of the related Power Quality problems. The research activity has also found development and implementation in practical applications, both in the implementation of pilot projects related to the creation of a smart city, and in the drafting of the SEAP (Action Plan for Sustainable Efficiency) of European Commission, for the Municipality of Naples, both in participating in the CDP (formerly the Carbon Disclosure Project) of European Commission, a global platform for cities to measure, manage and disseminate their environmental data, for risk management, promote dissemination, insights and actions towards a sustainable economy. Reviewer for more than 20 different Scopus journals, international research programs, for many IEEE conferences. Author of more than 80 papers on Scopus international journals and conferences. Winner of 2 Best poster Awards ICRERA IEEE 2014 and ICRERA IEEE 2018. Research fund manager since 2006 for the University of Bergamo, on Smart City issues. Sustainable development is the first key element of her conducted research activity, up to the themes of development, definition and implementation of Smart Cities.


KA4 – “Artificial Intelligence for Modeling and Optimization of Complex Energy Systems” by Dr. Marius STAN, Argonne National Laboratory, USA

Modeling properties and evolution of complex systems requires a comprehensive evaluation of uncertainty and model quality using experimental, theoretical and computational methods that operate at vastly different length and time scales. In parallel, with the volume and rate of data generation continuously increasing, human analysis becomes more difficult, if not impossible. Fortunately, recent advances in artificial intelligence (AI) have significantly improved R&D methodologies by emphasizing the role of the human-machine partnership. We discuss the development of “intelligent software” that includes elements of AI such as Machine Learning, Active Learning, Computer Vision and Augmented Reality, coupled with Reduce-Order Modeling and Bayesian analysis. We illustrate the value of the approach using examples of machine learning modeling of material properties and real-time optimization of manufacturing processes. The AI methodology is then extended to electrical grid systems, to optimize performance in normal conditions and to assist decision making in off-normal conditions.

Professor Marius Stan is a Senior Scientist and Leader of Intelligent Materials Design in the Applied Materials Division at Argonne National Laboratory in U.S.A. He is also a Senior Fellow at University of Chicago and Northwestern University. Marius and his group use artificial intelligence and multi-scale computer simulations to understand and predict physical and chemical properties of multi-component systems and to optimize complex processes. Marius has extensively published in the scientific literature and is currently writing a book on modeling and simulation.


“What will the future look like?” by Dr. Andreea Maria PAUL (VASS), President of INACO – The Initiative for Competitiveness – think-tank

In a world that is constantly changing, in which the only constant is even change, and the speed of change is increasing, learning can no longer remain linear. Even more difficult is the answer to the key question: what will the future jobs look like? What are the businesses and jobs that are emerging, transforming or even disappearing in a world of exponential change? Is technology driving our lives? What will be the skills and most sought after abilities by employers? How could we acquire them through exponential learning?

Professor Andreea Maria Paul (Vass) is with the Department of International Business and Economics, Bucharest University of Economic Studies Romania and ex-senior researcher at National Scientific Research Institute for Economy (2001-2008), ex-economic adviser for the Romanian Presidency (2005-2007), as well for a MP of the European Parliament (2007-2008), for the Romanian Government, of two Prime-Ministers (2009-2012) and an ex-Member of the Romanian Parliament (2012- 2016), having more than 20 years of experience in socio-economic research and public policy making. Currently she is the founder and president of the Romanian think-tank INACO – Initiative for Competitiveness (2017). She holds a PhD diploma in International Business and Economics from 2008 and relevant research activity. She has a rich experience in academic teaching and economic research, teaching courses as international economics, European economic governance and global economic governance. Her main areas of interest include among others: future economy, competitiveness analysis, gender economics, international macroeconomics, analysis and public policies assessments, etc.