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Course Objective

Data analytics has already taken root in the energy industry. The workshop discusses how exactly data analytics can drive value in the electric power sector. Electric utilities go for smart grids with advanced metering infrastructure and big data capabilities to get strategic insights that would foster efficient energy use. Based on the experience gained from cooperation with electric utilities, recent advancements show practical examples of how big data analytics augments the energy industry. It’s not news that failures in the energy industry equipment may result in catastrophic power blackouts and vast sums of money spent on new assets, restoration works and energy losses. To avoid or minimize such outcomes, development of efficient equipment monitoring systems and predictive maintenance approach, the key technologies of which are smart meters and big data. Electric power quality influences the safe operation of a power grid and consumers’ satisfaction. Fortunately, big data software goes far beyond detecting disturbances a posteriori.

Realizing the need of the time, the present workshop is aimed to give lectures and training on data analytics, big data, machine learning and deep learning techniques in different power system applications. The participants will be exposed to the basics and fundamentals behind the algorithms with applications.

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