National University of Defense Technology

Guoming Tang

Deke Guo

Lailong Luo

Hao Yuan

Long Zheng

Yahui Wu

Xueshan Luo

Xinyi Li

Xiaofeng Cao

Yan Li

A battery energy storage system (BESS) including: a battery storage configured to store surplus renewable energy; a controller coupled to the battery storage and configured to control charging operations and discharging operations of the battery storage; a generation meter coupled to the controller and configured to measure renewable energy; a renewable energy generator coupled to the generation meter and configured to generate renewable energy; and a standard meter coupled to the controller and configured to measure energy provided by a power grid; wherein the controller is configured to manage energy expenditure of the BESS according to the following steps: initializing a replay buffer configured to store state transition samples; initializing a main net configured to generate a current Q-value; initializing a target net configured to generate a target Q-value; obtaining an environment state of the BESS; and selecting an action based on an &#x3f5;-greedy policy.

BESS aided renewable energy supply using deep reinforcement learning for 5G and beyond

The present disclosure relates to an online task dispatching and scheduling system. The system includes an end device; an access point (AP) configured to receive a task from the end device; one or more edge servers configured to receive the task from the AP, the one or more edge servers including a task waiting queue, a processing pool, a task completion queue, and a scheduler, wherein the AP further includes a dispatcher utilizing Online Learning (OL) for determining a real-time state of network conditions and server loads; and the AP selects a target edge server from the one or more edge servers to which the task is to be dispatched; and wherein the scheduler utilizes Deep Reinforcement Learning (DRL) in generating a task scheduling policy for the one or more edge servers.

Online task dispatching and scheduling system and method thereof

The present disclosure relates to an edge federation system, wherein the edge federation system includes: an end device; an edge service provider (ESP) configured to contract services from the end device; an edge infrastructure provider (EIP) configured to provide edge computing resources to the contracted services from the ESP; a cloud server configured to provide service to the end device; and a consortium for managing resources between the EIP and the cloud server, wherein the consortium is further configured to calculate available resources of the EIP, calculate available resources of the cloud server, and optimize the distribution of services from the EIP and the cloud server to the end device.

Edge federation system for an integrated service provisioning model and method thereof

Growing community of inventors

Hunan, China

Guoming Tang