Abstract
The current obsolete electricity network is being transformed into an advanced, digitalized and more efficient one known as Smart Grid. The deployment of an Automatic Metering Infrastructure (AMI) will make an unseen quantity of rich information available in near real-time, processed to make decisions for the optimal energy production, generation, distribution, and consumption. This document presents an analysis of the ENERMONGRID tool, a tool used for intelligent energy monitoring, data visualization and fraud detection in electric networks.
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Acknowledgements
This work is supported by the ITEA3 OPTIMUM project, ITEA3 SECUREGRID project and ITEA3 SCRATCH project, all of them funded by the Centro Tecnológico de Desarrollo Industrial (CDTI).
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Lagares-Lemos, M., Perez-Gallardo, Y., Lagares-Lemos, A., Gómez-Berbís, J.M. (2021). ENERMONGRID: Intelligent Energy Monitoring, Visualization and Fraud Detection for Smart Grids. In: Zapata-Cortes, J.A., Alor-Hernández, G., Sánchez-Ramírez, C., García-Alcaraz, J.L. (eds) New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques. Studies in Computational Intelligence, vol 966. Springer, Cham. https://doi.org/10.1007/978-3-030-71115-3_7
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DOI: https://doi.org/10.1007/978-3-030-71115-3_7
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