Browsing by Keyword "Pricing"
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Item An analysis of coalition-competition pricing strategies for multi-operator mobile traffic offloading using bi-objective heuristics(Springer Verlag, 2017) Consul, Jone; Perfecto, Cristina; Bilbao, Miren Nekane; Del Ser, Javier; Del Ser, Javier; IAIn a competitive market relationships between telecommunications operators serving simultaneously over a certain geographical area are diverse and motivated by very different business strategies and goals. Such relationships ultimately yield distinct pricing portfolios depending on the contractual affiliation of the user being served. Furthermore a key role in the last decade is the concept of tethering (connection sharing) which, when controlled by the operator, may help alleviating the consumption of network resources in densely populated scenarios. In this work we investigate the application of bi-objective heuristics for the design of Pareto-optimal network topologies leading to an optimal Pareto between the revenue of the incumbent operators in the scenario and the quality of service degradation experienced by the end users as a result of tethering. Based on computer simulation this work unveils that such a Pareto-optimal set of topologies is strongly determined by the market relationships between such operators.Item Peer-to-peer energy market between electric vehicles(Institution of Engineering and Technology, 2020-01-01) Álvaro-Hermana, Roberto; Merino, Julia; Fraile-Ardanuy, Jesús; Castanõ-Solis, Sandra; Jiménez, David; Tecnalia Research & InnovationElectric vehicles (EVs) are a major component of future electric grids, both for the increase in electricity demand and the flexibility they can add to the grid. Vehicle-to-grid and vehicle-to-building pilots have been tested and some have been approved by grid operators, but the EVs’ possibilities shall be further enhanced. In previous works, the authors proposed a peer-to-peer energy market between EVs that largely reduced the expenses of their costly day-charging. This chapter further expands the model by taking into account the long-term effects of the market, which reduce the impact of the electric grid prices forecast on the market. The ratio between EVs that offer energy and those that demand energy is shown to be a good indicator for the market price forecast. Almost all energy demand occurs in pairs zone-time in which the number of offering EVs is more than five times the number of demanding EVs, for which the market price is very close to the electricity price at night.