LSTM Based Short-Term Data Center Electrical Consumption Forecasting
Author:
Affiliation:
1. The Chinese University of Hong Kong, Shenzhen, China
2. Tsinghua University, China
3. Tencent Inc., China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3594739.3612915
Reference20 articles.
1. Short term electricity load forecasting using hybrid prophet-LSTM model optimized by BPNN
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3. Adaptive Hybrid Model-enabled Sensing System (HMSS) for Mobile Fine-Grained Air Pollution Estimation
4. HAP
5. PGA
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