Hierarchical Economic Model Predictive Control Approach for a Building Energy Management System With Scenario-Driven EV Charging
Author:
Affiliation:
1. Honda Research Institute Europe GmbH, Offenbach, Germany
2. Control Methods and Robotics Laboratory, Technical University of Darmstadt, Darmstadt, Germany
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/9801905/09737311.pdf?arnumber=9737311
Reference29 articles.
1. Optimal Management for Parking-Lot Electric Vehicle Charging by Two-Stage Approximate Dynamic Programming
2. Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule
3. Demand side energy management of EV charging stations by approximate dynamic programming
4. Real-Time Differential Pricing Scheme for Active Consumers with Electric Vehicles
5. Multi‐time hierarchical stochastic predictive control for energy management of an island microgrid with plug‐in electric vehicles
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