Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2017 | BDA | Resource management,Energy management,Smart grid,Systems engineering,Computer science,Demand response,Home automation,Artificial intelligence,Distributed generation,Active control,Machine learning,Net metering |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Krithi Ramamritham | 1 | 4975 | 936.38 |
| G. Karmakar | 2 | 20 | 5.12 |
| Prashant J. Shenoy | 3 | 6386 | 521.30 |