Topic
Demand optimization
About: Demand optimization is a research topic. Over the lifetime, 29 publications have been published within this topic receiving 228 citations.
Papers
1 Jan 2010
TL;DR: The improvements of the behavioral model reported in this paper are focused on the scoring function which can process individualized parameters for measuring the quality of all-day activity plans and the observed spatial distribution of the modal split can be reproduced within ±10 percentage points per mode.
Abstract: This paper presents the application of the agent-based transport simulation toolkit MATSim-T to a large-scale scenario of Switzerland. The scenario is called large-scale because ca. 6 million synthetic persons, “agents”, are simulated on a high-resolution network model with >1 million links. MATSim-T is able to compute a relaxed state of the simulation system within 60 iterations of the learning-based solution procedure with regard to mode choice, car route choice and choice of activity timing. This is achieved by applying improved optimization algorithms in the replanning stage. A genetic algorithm is used for times and and mode choice optimization of activity plans, together with an efficient implementation of time-dependent shortest path search for route choice. The improvements of the behavioral model reported in this paper are focused on the scoring function which can process individualized parameters for measuring the quality of all-day activity plans. Combined with disaggregate input data for population and land use, it was possible to build a heterogeneous and thus more realistic scenario. Furthermore, four modes of transport (car, public transit, bike, walk) are considered in the presented application. The generalized cost of the car option is determined by a queue simulation of traffic flow. In order to prove the concept of mode choice optimization in a multi-agent microsimulation, the other modes are modelled as abstract alternatives with static travel costs constant throughout the modeled average workday. It is shown how the model is calibrated against observed modal split data. The results are validated with average workday count data. Despite the simple cost structure of the mode alternatives, and due to a mode choice concept based on subtours, the observed spatial distribution of the modal split can be reproduced within ±10 percentage points per mode.
98 citations
TL;DR: In this article, the authors present a cost-effective solution to these challenges by exploring communication technologies and information models for DER system integration and interoperability, using open standards and optimization models for resource planning based on dynamic pricing notifications and autonomous operations within various domains of the smart grid energy system.
63 citations
1 Oct 2016
TL;DR: In this paper, the authors present demand energy response optimization in residential sector which energy required for demand supply is provided by electric system, which may have distributed generation, demand optimization objective is to flatten the demand peak curve, thus this promotes energy maintenance by users without producing comfort affections, for which an storage energy system through batteries is used allowing a system energy decrease provided by the electric system to the user.
Abstract: This document presents demand energy response optimization in residential sector which energy required for demand supply is provided by electric system, which may have distributed generation, demand optimization objective is to flatten the demand peak curve, thus this promotes energy maintenance by users without producing comfort affections, for which an storage energy system through batteries is used allowing a system energy decrease provided by the electric system to the user. Management energy system allow to respond relieving load to the electric system, especially when peak demand response presents and when energy cost is greater, providing energy to the battery set, besides this research routes usage of surplus energy of electric vehicles.
28 citations
TL;DR: This paper forms the joint pricing and bandwidth demand optimization problem as a two-stage Stackelberg leader-follower game, and investigates how to derive the optimal solutions under the scenarios of both complete and incomplete information.
Abstract: Due to the bursty nature of Internet traffic, network service providers (NSPs) are forced to expand their network capacity in order to meet the ever-increasing peak-time traffic demand, which is however costly and inefficient. How to shift the traffic demand from peak time to off-peak time is a challenging task for NSPs. In this paper, we study the implementation of time-dependent pricing (TDP) for bandwidth slicing in software-defined cellular networks under information asymmetry and price discrimination. Congestion prices indicating real-time congestion levels of different links are used as a signal to motivate delay-tolerant users to defer their traffic demands. We formulate the joint pricing and bandwidth demand optimization problem as a two-stage Stackelberg leader-follower game. Then, we investigate how to derive the optimal solutions under the scenarios of both complete and incomplete information. We also extend the results from the simplified case of a single congested link to the more complicated case of multiple congested links, where price discrimination is employed to dynamically adjust the price of each congested link in accordance with its real-time congestion level. Simulation results demonstrate that the proposed pricing scheme achieves superior performance in increasing the NSP’s revenue and reducing the peak-to-average traffic ratio (PATR).
25 citations
1 Jan 2011
TL;DR: Zusammenfassung as mentioned in this paper has published a survey of the Zusammmen-Fassung in 2011, with the following conclusions: 1. Introduction 1.
Abstract: 2011 Contents Abstract v Zusammenfassung vii Introduction 1
21 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 4 |
| 2020 | 3 |
| 2019 | 1 |
| 2017 | 3 |
| 2016 | 3 |
| 2015 | 7 |