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Federal Energy Management Program Overview

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Optimal Energy Management for Microgrid with Stationary and Mobile Storage

• Authors : Gadh, Rajit

• Source: Conference: IEEE PES T&D 2016, Dallas, TX, 2-5 May 2016

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A Fuzzy-Logic Subsumption Controller for Home Energy Management Systems

• Authors : Lundstrom, Blake

• Source: Conference: Presented at the North American Power Symposium (NAPS), 4-6 March 2015, Charlotte, North Carolina

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Effects of Home Energy Management Systems on Distribution Utilities and Feeders Under Various Market Structures: Preprint

• Authors : Jones, Wesley

• Source: Conference: Presented at the 23rd International Conference on Electricity Distribution, 15-18 June 2015, Lyon, France

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Effects of Home Energy Management Systems on Distribution Utilities and Feeders Under Various Market Structure; NREL (National Renewable Energy Laboratory)

• Authors : Jones, W.

• Source: Conference: 23rd International Conference and Exhibition on Electricity Distribution, 15-18 June 2015, Lyon, France

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Bridging the gap between sustainable technology adoption and protecting natural resources: Predicting intentions to adopt energy management technologies in California

• Authors : Sintov, Nicole [Univ. of Southern California, Los Angeles, CA (United States)]

• Source: Energy Research and Social Science; 22; C

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Data-driven reinforcement learning–based real-time energy management system for plug-in hybrid electric vehicles

• Authors : Gonder, Jeffrey [National Renewable Energy Lab. (NREL), Golden, CO (United States)]

• Source: Transportation Research Record; 2572

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Home energy management based on optimal production control scheduling with unknown regime switching

• Authors : DONG, JIN [ORNL] (ORCID:0000000257531588)

• Source: Conference: 2017 American Control Conference - Seattle, California, United States of America - 5/24/2017 12:00:00 AM-5/26/2017 12:00:00 AM

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Energy Management in Small Commercial Buildings: A Look at How HVAC Contractors Can Deliver Energy Efficiency to this Segment

• Authors : Mathew, Paul

• Source: RSES

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Computational Intelligence Based Anomaly Detection for Building Energy Management Systems

• Authors : Manic, Milos

• Source: Conference: ISRCS,Salt Lake City,08/14/2012,08/16/2012

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