Wireless M-Bus according to EN-13757-4 is a major contender for local metrological network （LMN） in smart metering and smart grid applications, as it holds the promise of flexible and optimized solutions. It enjoys ...Wireless M-Bus according to EN-13757-4 is a major contender for local metrological network （LMN） in smart metering and smart grid applications, as it holds the promise of flexible and optimized solutions. It enjoys wide popularity in continental Europe, but increasingly in many other regions of the world. However, Wireless M-Bus is characterized by a wide variety of different operation modes （C-, F-, N-, P-, Q-, R-, S-, and T-modes）, which work in different frequency bands （i.e., 868 MHz, 433 MHz, and 169 MHz）. Its application layer can be enhanced by extensions, being defined from vendor alliances, like the Open Metering System （OMS） Group, or from national bodies.展开更多
A stochastic resource allocation model, based on the principles of Markov decision processes(MDPs), is proposed in this paper. In particular, a general-purpose framework is developed, which takes into account resource...A stochastic resource allocation model, based on the principles of Markov decision processes(MDPs), is proposed in this paper. In particular, a general-purpose framework is developed, which takes into account resource requests for both instant and future needs. The considered framework can handle two types of reservations(i.e., specified and unspecified time interval reservation requests), and implement an overbooking business strategy to further increase business revenues. The resulting dynamic pricing problems can be regarded as sequential decision-making problems under uncertainty, which is solved by means of stochastic dynamic programming(DP) based algorithms. In this regard, Bellman’s backward principle of optimality is exploited in order to provide all the implementation mechanisms for the proposed reservation pricing algorithm. The curse of dimensionality, as the inevitable issue of the DP both for instant resource requests and future resource reservations,occurs. In particular, an approximate dynamic programming(ADP) technique based on linear function approximations is applied to solve such scalability issues. Several examples are provided to show the effectiveness of the proposed approach.展开更多
基金supported by the German Federal Ministry of Economics and Technology under Grant No.16IN0594(DEMAX project)the ARTE-MIS-JU and the Participating Member States under Grant No.100266(ME~3GAS project)the European Commission under Grant No.FP7-SME-2011-286753(WiMBex project)
文摘Wireless M-Bus according to EN-13757-4 is a major contender for local metrological network （LMN） in smart metering and smart grid applications, as it holds the promise of flexible and optimized solutions. It enjoys wide popularity in continental Europe, but increasingly in many other regions of the world. However, Wireless M-Bus is characterized by a wide variety of different operation modes （C-, F-, N-, P-, Q-, R-, S-, and T-modes）, which work in different frequency bands （i.e., 868 MHz, 433 MHz, and 169 MHz）. Its application layer can be enhanced by extensions, being defined from vendor alliances, like the Open Metering System （OMS） Group, or from national bodies.
文摘A stochastic resource allocation model, based on the principles of Markov decision processes(MDPs), is proposed in this paper. In particular, a general-purpose framework is developed, which takes into account resource requests for both instant and future needs. The considered framework can handle two types of reservations(i.e., specified and unspecified time interval reservation requests), and implement an overbooking business strategy to further increase business revenues. The resulting dynamic pricing problems can be regarded as sequential decision-making problems under uncertainty, which is solved by means of stochastic dynamic programming(DP) based algorithms. In this regard, Bellman’s backward principle of optimality is exploited in order to provide all the implementation mechanisms for the proposed reservation pricing algorithm. The curse of dimensionality, as the inevitable issue of the DP both for instant resource requests and future resource reservations,occurs. In particular, an approximate dynamic programming(ADP) technique based on linear function approximations is applied to solve such scalability issues. Several examples are provided to show the effectiveness of the proposed approach.
