Among the practitioners in the energy management domain, there is enormous excitement about synthesizing and benefiting from numerous technologies, including real-time monitoring, net metering, demand response, distributed generation from intermittent sources such as solar and wind, active control of power flows, enhanced storage capabilities, and micro-grids. A common theme in today’s solutions is the data-driven nature of the enabling technologies — to analyze requirements, use measurement/monitoring data to drive actuation/control, optimization, and resource management. The ability of modern sensing and IOT (Internet of Things) devices to inform us about the current state of the system and provide a timely and state-appropriate (rather than a broad, imprecise) response, backed up by analysis leads to novel solutions that are also practical and efficient.
CITATION STYLE
Ramamritham, K., Karmakar, G., & Shenoy, P. (2017). Smart energy management: A computational approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10721 LNCS, pp. 3–14). Springer Verlag. https://doi.org/10.1007/978-3-319-72413-3_1
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