
Load Management Group
In partnership with PLMA, this group is for practitioners from energy utilities, solution providers, and trade allies to share load management expertise and explore innovative approaches to program delivery, pricing constructs, and technology adoption.
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Data-driven load profiles and the dynamics of residential electricity consumption - Nature Communications
High-resolution data on load profiles for the residential sector are becoming a more urgent issue as energy demand increases with rising populations. Determining typical load profiles through research and data goes back decades, but the researcher authors in this paper explain that it has been surprisingly difficult to get a clear picture of the typical demand dynamics because so much is changing: there are now distributed energy resources, micro grids, residential solar systems, smart meters, etc. Demand has never been more dynamic. In this paper, the authors attempt to give a method for extracting high-resolution demand data in the modern energy ecosystem.
Data-driven load profiles and the dynamics of residential electricity consumption - Nature Communications
In modern power grids, knowing the required electric power demand and its variations is necessary to balance demand and supply. The authors propose a data-driven approach to create high-resolution load profiles and characterize their fluctuations.
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