TAS::89 0927::TAS RECOVERY - The Lean Green Energy Controller Machine | |
Teeter, John ; Wang, Gene ; Moss, David | |
关键词: Home Area Network; Energy Management System; Consumer Services; Smart Grid; Smart Controllers; Residential Energy Management; Demand Response; Non-intrusive Load Monitoring; hub; cyber security; interoperability; automated management; cloud; energy consumption; dynamic optimization; Actionable Intelligence; | |
DOI : 10.2172/1072033 RP-ID : DOESC0003592 PID : OSTI ID: 1072033 |
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学科分类:能源(综合) | |
美国|英语 | |
来源: SciTech Connect | |
【 摘 要 】
Achieving efficiency improvements and providing demand-response programs have been identified as key elements of our national energy initiative. The residential market is the largest, yet most difficult, segment to engage in efforts to meet these objectives. This project developed Energy Management System that engages the consumer and enables Smart Grid services, applications, and business processes to address this need. Our innovative solution provides smart controller providing dynamic optimization of energy consumption for the residential energy consumer. Our solution extends the technical platform to include a cloud based Internet of Things (IoT) aggregation of data sensors and actuators the go beyond energy management and extend to life style services provided through compelling mobile and console based user experiences.
【 预 览 】
Files | Size | Format | View |
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RO201704190000065LZ | 3691KB | download |