Titlebook: Investment in Energy Assets Under Uncertainty; Numerical methods in L.M. Abadie,J.M. Chamorro Book 2013 Springer-Verlag London 2013 Binomia

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Valuation of Energy Assets: Three Risk Factors energy assets when environmental constraints are in place. First we deal with a combined cycle gas turbine. Both the electricity price and natural gas price are governed by mean reverting stochastic processes as in the two previous chapters; however, the carbon allowance price is assumed to follow

chance

Value Maximization and Optimal Management of Energy Assetswitching the unit off and keeping it idle). Management must therefore decide the optimal mode of operation. In these cases, the valuation of the capital asset must account not only for uncertainty, but for the optimal operation mode as well. We frame this discussion in two different contexts as befo

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inions of 82 ES practitioners and building on the authors’ previous work on source problems in ES adoption, this study performs the further data analysis incorporating the ES lifecycle. The analysis employs the Cooper and Zmud’s six-stage model of IT diffusion and investigates how the difficulties c

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raditional to digital business, the business model concept has prevailed as a promising unit of analysis. To describe business models, they are typically broken down into single business model components. However, there is a lack of knowledge on the dynamics between them, i.e. which dependencies and

Chameleon

L. M. Abadie,J. M. Chamorron . The decline in enterprise is evidenced by a range of data including a striking contraction of employment in the business sector (rivaled only by Scandinavia and Portugal) and a plunge in the growth rate of total factor productivity within the business sector (from the league-leading rate to a ra

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L. M. Abadie,J. M. Chamorro), has gained momentum over the last years. For traditional business information systems the integration of the IoT leads to the emergence of new value-added business processes that make use of its representative devices such as RFID, sensors and actuators, as entirely new resources. One promising a

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ar quality (from the business point of view). To ensure high quality of the designed process models opportunity should be given in order to use the mathematical expression’s qualitative characteristic of the process model (i.e. quality measures of the process model). To improve their knowledge, we a