Muhamedyev, K. Yakunin. Application of machine learning to the monitoring of renewable energy sources // The 13th International conference information technologies and management. – Riga: Information Systems Management Institute, 2015. – P. 126-127.
The paper covers opportunities for application of Machine Learning and other  mathematical/statistical models and artificial intelligence algorithms in a geographic information system developed for monitoring of renewable energy sources. The system adopts concepts of crowdsourcing and heterogeneous data in order to provide the most complete set of necessary data possible to be used for analysis, research and decision making by individuals, companies and state entities of Kazakhstan.
Keywords: Machine learning, GIS, renewable energy, machine learning, heterogeneous data, monitoring of energy sources.
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