Reducing energy consumption of Neural Architecture Search
An inference latency prediction framework
Bibliographic Data
| ID | 21228480 |
|---|---|
| Authors | Longfei Lu (University of Electronic Science and Technology of China), Bo Lyu (0009-0004-8493-2039, University of Electronic Science and Technology of China, corresponding author) |
| Year | 2021 |
| Volume | 67 |
| Pages | 102747 |
| Publication date | 2021-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2021.102747 |
| OpenAlex | W3126332733 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
Artificial neural network · Cloud computing · Deep learning · Distributed computing · Efficient energy use · Energy consumption · Inference · Machine learning · Operating system · Software deployment · Software engineering · Telecommunications · Advanced Neural Network Applications · Air Quality Monitoring and Forecasting · Computer Science · Engineering · Machine Learning in Materials Science · Artificial Intelligence
Deep Contextualized Word Representations
Energy and Policy Considerations for Deep Learning in NLP
Greedy function approximation
Long Short-Term Memory
Predictions and driving factors of production-based CO2 emissions in Beijing, China
Fog computing for sustainable smart cities in the IoT era
Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems
Using long short-term memory networks to predict energy consumption of air-conditioning systems
Data-driven building load profiling and energy management
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |