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Found 10 papers, 0 papers with code
Using Flexibility Envelopes for the Demand-Side Hierarchical Optimization of District Heating Networks
The demand-side control of district heating networks is notoriously challenging due to the large number of connected users and the high number of states to be considered.
LQ Control of Traffic Flow Models via Variable Speed Limits
Then, an optimal linear quadratic (LQ) controller is designed on the linear LWR model.
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout
Connected and autonomous vehicles have the potential to minimize energy consumption by optimizing the vehicle velocity and powertrain dynamics with Vehicle-to-Everything info en route.
A Graph-Based Technique for the Automated Control-Oriented Modeling of District Heating Networks
Advanced control strategies for delivering heat to users in a district heating network have the potential to improve performance and reduce wasted energy.
A Dynamically Similar Lab-Scale District Heating Network via Dimensional Analysis
Strict user demands and large variability in external disturbances, along with limited richness in the data collected on the daily operating conditions of district heating networks makes the design and testing of novel energy-reducing control algorithms for district heating networks challenging.
Development and Evaluation of an Online Home Energy Management Strategy for Load Coordination in Smart Homes with Renewable Energy Sources
In this paper, a real time implementable load coordination strategy is developed for the optimization of electric demands in a smart home.
Recomputing Solutions to Perturbed Multi-Commodity Pickup and Delivery Vehicle Routing Problems using Monte Carlo Tree Search
The Multi-Commodity Pickup and Delivery Vehicle Routing Problem aims to optimize the pickup and delivery of multiple unique commodities using a fleet of several agents with limited payload capacities.
A Convex Hull Cheapest Insertion Heuristic for the Non-Euclidean TSP
To address the difficulty of dealing with obstacles in the non-Euclidean space, the proposed adaptation uses multidimensional scaling to first approximate these points in a Euclidean space, thereby enabling the generation of the convex hull that initializes the algorithm.
A Semi Empirical Approach to a Physically Based Aging Model for Home Energy Management Systems
A growing interest in the study of aging related phenomena in lithium-ion batteries is propelled by the increasing utilization of energy storage systems in electric vehicles and in buildings as stationery energy accumulators paired with renewable energy sources.
Model Predictive Control for Automotive Climate Control Systems via Value Function Approximation
Among the auxiliary loads in light-duty vehicles, the air conditioning system is the single largest energy consumer.
