A short-term energy prediction system based on edge computing for smart city-Reference-Cited by-同舟云学术

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A short-term energy prediction system based on edge computing for smart city

Published:2019-12 Issue: Volume:101 Page:444-457
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Luo Haidong,Cai Hongming,Yu Han,Sun Yan,Bi Zhuming,Jiang Lihong

Funder

Shanghai Science and Technology Committee, China

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference43 articles.

1. Iot-based big data storage systems in cloud computing: Perspectives and challenges;Cai;IEEE Internet Things J.,2017

2. A configurable wot application platform based on spatiotemporal semantic scenarios;Huang;IEEE Trans. Syst. Man Cybern. Syst.,2017

3. Efficient energy management for the internet of things in smart cities;Ejaz;IEEE Commun. Mag.,2017

4. Robust energy management system for a microgrid based on a fuzzy prediction interval model;Valencia;IEEE Trans. Smart Grid,2016

5. A hybrid integrated architecture for energy consumption prediction;Maté;Future Gener. Comput. Syst.,2016

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3. A Contiguous Temporal Chebyshev Convolutional Optimized Network (CoC-TemNet) Model for Energy Prediction in IoT Enabled Smart City Networks;IEEE Internet of Things Journal;2024-07-01

4. Analysis of the Energy Efficiency of Smart City Buildings Based on Deep Learning Algorithms Using AI;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

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