Search Results for author:
Found 5 papers, 0 papers with code
Joint Trading and Scheduling among Coupled Carbon-Electricity-Heat-Gas Industrial Clusters
This paper presents a carbon-energy coupling management framework for an industrial park, where the carbon flow model accompanying multi-energy flows is adopted to track and suppress carbon emissions on the user side.
Stochastic Gradient-based Fast Distributed Multi-Energy Management for an Industrial Park with Temporally-Coupled Constraints
Contemporary industrial parks are challenged by the growing concerns about high cost and low efficiency of energy supply.
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations
Therefore, federated learning can be exploited to train a collaborative fault diagnosis model.
Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park
Owing to large industrial energy consumption, industrial production has brought a huge burden to the grid in terms of renewable energy access and power supply.
Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park
To solve the issue, the energy management problem is constructed as a stochastic optimization problem.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
