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Power generation projects are usually capital-intensive and require long lead time, while power consumption demands high reliability of supply service. Therefore this kind of investment faces much complex situation and uncertainties especially in the liberalized electricity market. The uncertain factors bring risks and affect the benefit of the investment. The traditional DCF method supposes that...
Prioritizing short-term investments and risk assessment have become a necessity for utilities due to the new regulatory frameworks based on performance and the uncertainties in the planning parameters. In this paper a probabilistic methodology is proposed in order to take into account these uncertainties. First, a software is used to generate aleatory scenarios and subsequently both the system performance...
This paper presents a candidate-evaluation model (CEM) which interactively elicits user preferences and assists decision makers in decision making in applications such as travel itinerary planning. The CEM contrasts with traditional decision analytic and planning frameworks in which a complete user model is elicited beforehand or is constructed by a human expert. We used the CEM model to implement...
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