Advancements in Energy Management and Wireless Networks

The field of energy management and wireless networks is experiencing significant growth, driven by the increasing demand for sustainable and efficient solutions. Recent developments have focused on improving the performance and reliability of wireless networks, particularly in the context of energy harvesting and buffer-aided relay selection. Additionally, there has been a surge in research on adaptive control strategies for wireless sensor networks, aiming to minimize energy consumption and ensure queue stability. Noteworthy papers in this area include:

  • Multi-Task Lifelong Reinforcement Learning for Wireless Sensor Networks, which proposes an adaptive control strategy that leverages lifelong reinforcement learning concepts to optimize data transmission and energy harvesting.
  • Data-Driven Policy Mapping for Safe RL-based Energy Management Systems, which presents a three-step reinforcement learning-based building energy management system that combines clustering, forecasting, and constrained policy learning to address scalability, adaptability, and safety challenges.
  • Learning to Solve Parametric Mixed-Integer Optimal Control Problems via Differentiable Predictive Control, which introduces a novel approach to solving input- and state-constrained parametric mixed-integer optimal control problems using Differentiable Predictive Control. These innovative approaches and techniques are expected to play a crucial role in shaping the future of energy management and wireless networks.

Sources

Link Priority Buffer-Aided Relay Selection with Energy Storage from Energy Harvest

Multi-Task Lifelong Reinforcement Learning for Wireless Sensor Networks

Data-Driven Policy Mapping for Safe RL-based Energy Management Systems

Centre driven Controlled Evolution of Wireless Virtual Networks based on Broadcast Tokens

On the input admittance of a universal power synchronization controller with droop controllers

Robust black start of an offshore wind farm with DRU based HVDC link using power synchronization control

Peer-to-Peer Energy Markets With Uniform Pricing: A Dynamic Operating Envelope Approach

Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids

Enhanced Fault Ride-Through Grid Forming with Transient Synchronisation Stability and Current Saturation

Learning to Solve Parametric Mixed-Integer Optimal Control Problems via Differentiable Predictive Control

Decision-Focused Learning for Neural Network-Constrained Optimization: Application to HVAC Management System

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