Machine learning‐based energy efficient technologies for smart grid
Author:
Affiliation:
1. School of Electronic Control, Chang'an University Xi'an China
2. State Grid Shaanxi Electric Power Research Institute Xi'an China
3. State Grid Shaanxi Electric Power Company Xi'an China
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12744
Reference35 articles.
1. LiPSG: Lightweight Privacy-Preserving Q-Learning-Based Energy Management for the IoT-Enabled Smart Grid
2. Machine learning driven smart electric power systems: Current trends and new perspectives
3. An intelligent approach for energy efficient trajectory design for mobile sink based IoT supported wireless sensor networks
4. Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities
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