Vijay Pakka is a Senior Lecturer in Electrical Power Systems & Smart Grids, based within the School of Engineering & Sustainable Development. He undertakes research in the area of Smart Grids specifically on the topics of distributed resource integration, microgrid operation and control, voltage regulation, distribution system modelling, electricity markets, deregulated power systems, demand response strategies and network stability analysis. He has a strong background in power system analysis and works with a range of modelling and analysis tools such as multiagent systems, statistical models, machine learning algorithms and metaheuristic techniques. He has special interests in stochastic dynamical systems and Bayesian network theory. He teaches electronics and electrical principles and power system analysis to undergraduate and postgraduate students along with research supervision of Doctoral and MSc students.
Vijay has previously worked as a Senior Research Fellow on the EPSRC funded AMEN (Agent-based Modelling of Electricity Networks) project that sought to make a significant and original contribution to improve the international profile and national strategic impact of energy modelling in the UK. It addressed in the context of the electricity network, perceived general weaknesses in whole energy systems modelling - from the closely related standpoint of complex systems research - in the areas of end-use behaviour, technology dynamics, and energy in industry. Prior to this project, Vijay worked on the million-£ CASCADE (Complex Adaptive Systems Cognitive Agents and Distributed Energy) project funded by EPSRC which focussed on agent based modelling of the UK energy system from a socio-economic and technical prespective.
Prior to joining 黑料网, Vijay completed his PhD in computer Science from the University of Southampton, UK and his Masters from Indian Institute of Science, Bangalore, India. His PhD thesis was on the investigation of Complexity issues in Gene Regulatory Networks using Machine Learning and Stochastic Analysis Techniques and his MSc was on using Neural Networks and Support Vector Machines for locating Faults in Distribution Networks. Vijay has a background in Electrical & Electronics Engineering with focus on Power System Analysis, Smart Grids, Electricity Markets and Trading, Power Electronics, Machine Learning Techniques and Statistical Analysis. Vijay has a Higher Certificate in Statistics from the Royal Statistical Society.