Methodology transfer from energy/mobility related scenarios to water management domain

author: Matej Senožetnik, Artificial Intelligence Laboratory, Jožef Stefan Institute
author: Klemen Kenda, Artificial Intelligence Laboratory, Jožef Stefan Institute
published: Dec. 19, 2017,   recorded: December 2017,   views: 863

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The first webinar of the Water4Cities project focuses on the work and achievements from previous FP6, FP7 and H2020 projects that can be efficiently re-used in water management scenarios. Outcomes and tools from the following projects: NRG4CAST (energy forecasting and data analysis on different energy-related data), Sunseed (energy forecasting for smart grids) and Optimum (data gathering infrastructure) are presented. The first part of the webinar introduces concepts and approaches at a theoretical level, while the second part is a hands-on seminar on the potential usage of these methods in the Water4Cities project.

In particular, general stream-mining workflow and the following data pre-processing steps are presented:
• data gathering infrastructure (adopted from Optimum project) for collecting Ljubljana aquifer groundwater data, weather data from and Skiathos pumping data from legacy system Excel files
• API for data retrieval (also adopted from Optimum project) on the previously mention datasets
• data cleaning infrastructure on Ljubljana aquifer data and present the results
• data fusion infrastructure on a stream of smart-grid data
• simple and fast data-driven modelling capabilities on the top of W4C data gathering infrastructure with the usage of Python/scikit-learn/pandas.

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