A two-stage spatio-temporal flexibility-based energy optimization of internet data centers in active distribution networks based on robust control and transformer machine learning strategy

This publication has 47 references indexed in Scilit:

• An economic room-level thermal management of air-cooled cloud data centers based on human brain emotional intelligence
  Building and Environment, 2025
• Evaluating the environmental impact of construction waste: A comprehensive analysis of End-of-Life scenarios in Environmental Product Declarations
  Building and Environment, 2025
• Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model
  Energy and AI, 2024
• NeuroQuMan: quantum neural network-based consumer reaction time demand response predictive management
  Neural Computing and Applications, 2024
• Optimal scheduling of active distribution network considering symmetric heat and power source-load spatial-temporal characteristics
  Applied Energy, 2024
• Multi-Term Electrical Load Forecasting of Smart Cities Using a New Hybrid Highly Accurate Neural Network-Based Predictive Model
  Smart Grids and Sustainable Energy, 2023
• Deep learning-based scheduling of virtual energy hubs with plug-in hybrid compressed natural gas-electric vehicles
  Applied Energy, 2022
• A review of wind speed and wind power forecasting with deep neural networks
  Applied Energy, 2021
• Operational flexibility of active distribution networks with the potential from data centers
  Applied Energy, 2021
• Assessing the environmental impact of data centres part 2: Building environmental assessment methods and life cycle assessment
  Building and Environment, 2015