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Forecasting Smart Meter Energy Usage Using Distributed Syst..:

, In: 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS),

Dong, Chris ; Du, Lingzhi ; Ji, Feiran... - p. 1293-1298 , 2018

Link: https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00216

RT 
T1 <cTitle>2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)</cTitle>: T1 <Title>Forecasting Smart Meter Energy Usage Using Distributed Systems and Machine Learning</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-8622954&Exemplar=1&LAN=DE
				
A1 Dong, Chris
A1 Du, Lingzhi
A1 Ji, Feiran
A1 Song, Zizhen
A1 Zheng, Yuedi
A1 Howard, Alexander
A1 Intrevado, Paul
A1 Woodbridge, Diane Myung-kyung
A1 Howard, Alexander J.
YR 2018
K1 Sparks
K1 Energy consumption
K1 Distributed databases
K1 Smart meters
K1 Machine learning
K1 Machine learning algorithms
K1 Meteorology
K1 Distributed computing, Distributed databases, Machine learning, Data processing, Smart grids
SP 1293
OP 1298
LK http://dx.doi.org/https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00216
DO https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00216
SF ELIB - SuUB Bremen

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