scholarly journals A dynamic pricing scheme with negative prices in dockless bike sharing systems

2019 ◽  
Vol 127 ◽  
pp. 201-224 ◽  
Author(s):  
J. Zhang ◽  
M. Meng ◽  
David, Z.W. Wang
Keyword(s):  
Dynamic Pricing ◽  
Pricing Scheme ◽  
Bike Sharing

Scalable Intra and Inter Domain IPv6 QoS Management and Pricing Scheme

2010 ◽  
pp. 256-279
Author(s):  
El-Bahlul Fgee ◽  
Shyamala Sivakumar ◽  
William J. Phillips ◽  
William Robertson
Keyword(s):  
Traffic Flow ◽  
Dynamic Pricing ◽  
Pricing Strategy ◽  
Traffic Flows ◽  
Lower Priority ◽  
Qos Management ◽  
Management Scheme ◽  
Pricing Scheme ◽  
End To End ◽  
Pricing Schemes

Network multimedia applications constitute a large part of Internet traffic and guaranteed delivery of such traffic is a challenge because of their sensitivity to delay, packet loss and higher bandwidth requirement. The need for guaranteed traffic delivery is exacerbated by the increasing delay experienced by traffic propagating through more than one QoS domain. Hence, there is a need for a flexible and a scalable QoS manager that handles and manages the needs of traffic flows throughout multiple IPv6 domains. The IPv6 QoS manager, presented in this paper, uses a combination of the packets’ flow ID and the source address (Domain Global Identifier (DGI)), to process and reserve resources inside an IPv6 domain. To ensure inter-domain QoS management, the QoS domain manager should also communicate with other QoS domains’ managers to ensure that traffic flows are guaranteed delivery. In this scheme, the IPv6 QoS manager handles QoS requests by either processing them locally if the intended destination is located locally or forwards the request to the neighboring domain’s QoS manager. End-to-end QoS is achieved with an integrated admission and management unit. The feasibility of the proposed QoS management scheme is illustrated for both intra- and inter-domain QoS management. The scalability of the QoS management scheme for inter-domain scenarios is illustrated with simulations for traffic flows propagating through two and three domains. Excellent average end-to-end delay results have been achieved when traffic flow propagates through more than one domain. Simulations show that packets belonging to non-conformant flows experience increased delay, and such packets are degraded to lower priority if they exceed their negotiated traffic flow rates. Many pricing schemes have been proposed for QoS-enabled networks. However, integrated pricing and admission control has not been studied in detail. A dynamic pricing model is integrated with the IPv6 QoS manager to study the effects of increasing traffic flows rates on the increased cost of delivering high priority traffic flows. The pricing agent assigns prices dynamically for each traffic flow accepted by the domain manager. Combining the pricing strategy with the QoS manager allows only higher priority traffic packets that are willing to pay more to be processed during congestion. This approach is flexible and scalable as end-to-end pricing is decoupled from packet forwarding and resource reservation decisions. Simulations show that additional revenue is generated as prices change dynamically according to the network congestion status.

scholarly journals PRICE DEMAND MODEL FOR A CLOUD CACHE

2010 ◽  
pp. 246-249
Author(s):  
SHAIK MOHAMMED GOUSE ◽  
G. PRAKASH BABU
Keyword(s):  
User Satisfaction ◽  
Dynamic Pricing ◽  
Optimal Pricing ◽  
Demand Model ◽  
Efficient Manner ◽  
Cloud Data ◽  
Pricing Scheme ◽  
Novel Method ◽  
Time Changes ◽  
Price Demand

Cloud applications that offer data management services are emerging. Such clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource economic way that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services. The model should be plausible in that it reflects the correlation of cache structures involved in the queries. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes. This paper proposes a novel price-demand model designed for a cloud cache and a dynamic pricing scheme for queries executed in the cloud cache. The pricing solution employs a novel method that estimates the correlations of the cache services in an time-efficient manner. The experimental study shows the efficiency of the solution.

scholarly journals Intelligent Dynamic Pricing Scheme for Demand Response in Brazil Considering the Integration of Renewable Energy Sources

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4839
Author(s):  
Diego B. Vilar ◽  
Carolina M. Affonso
Keyword(s):  
Renewable Energy ◽  
Demand Response ◽  
Dynamic Pricing ◽  
Renewable Energy Sources ◽  
Rebound Effect ◽  
Peak Load ◽  
Energy Sources ◽  
Load Factor ◽  
Pricing Scheme ◽  
Improve Algorithm

This paper proposes a novel dynamic pricing scheme for demand response with individualized tariffs by consumption profile, aiming to benefit both customers and utility. The proposed method is based on the genetic algorithm, and a novel operator called mutagenic agent is proposed to improve algorithm performance. The demand response model is set by using price elasticity theory, and simulations are conducted based on elasticity, demand, and photovoltaic generation data from Brazil. Results are evaluated considering the integration effects of renewable energy sources and compared with other two pricing strategies currently adopted by Brazilian utilities: flat tariff and time-of-use tariff. Simulation results show the proposed dynamic tariff brings benefits to both utilities and consumers. It reduces the peak load and average cost of electricity and increases utility profit and load factor without the undesirable rebound effect.

scholarly journals Optimized Charging of PV-Batteries for Households Using Real-Time Pricing Scheme: A Model and Heuristics-Based Implementation

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 113 ◽  
Author(s):  
Robert Basmadjian
Keyword(s):  
Real Time ◽  
Dynamic Pricing ◽  
Real Life ◽  
Solar Panels ◽  
Smart Meters ◽  
Technological Advances ◽  
Pricing Scheme ◽  
Attractive Option ◽  
Real Time Pricing ◽  
Pv Generation

The combination of solar panels (PV) with energy storage systems (ESS) has been becoming more and more a common practice for households. In this context, the battery of ESS satisfies the needs of the household when PV generation is not present. Recently, dynamic pricing became one of the measures taken to shift the demand. Thanks to technological advances (e.g., smart meters), real-time pricing (RTP) has shown to be the most attractive option in the market, due to the ease of estimating price elasticity over various time periods. We studied a PV-battery system for the case of households which are under RTP scheme. To this end, we described and modeled the underlying system, and compiled an objective function having as an optimization goal, the minimization of the charging cost of the battery. Furthermore, we propose a heuristics-based algorithm that schedules the charging process during cheap periods. To evaluate the amount of savings, we considered a real-life testbed and implemented the proposed algorithm by taking into account different scenarios. The results demonstrate the benefits of households adhering to real-time pricing scheme, where the savings reached 50% in certain cases.

A dynamic pricing scheme for e-content at multiple levels-of-service

2004 ◽  
Vol 27 (4) ◽  
pp. 374-385 ◽  
Author(s):  
Srinivasan Jagannathan ◽  
Kevin C. Almeroth
Keyword(s):  
Dynamic Pricing ◽  
Pricing Scheme ◽  
Multiple Levels ◽  
Levels Of Service
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