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This work presents a self scheduling problem of a thermal GenCo, trading electricity in a daily spot and subsequent adjustment market, to secure maximum feasible profit under the uncertainties of both the markets. The work proposes an Information Gap Decision Theory (IGDT) based framework that enables GenCo to make robust decisions for self-scheduling as well as trading portfolio selection in daily...
Deregulation and large-scale renewable energy penetration have increased uncertainties in power system planning. Strategic flexibility in project planning and decision making is needed to mitigate increasing risks. This paper proposes a methodology that improves decision making by valuing the flexibility of investment strategies to cope with uncertainty. This is done by integrating maintenance and...
Protecting the public from an airborne toxic-gas release requires that appropriate protective actions be selected quickly. When the leakage of toxic-gas happening, the emergency responders must take protective action, namely evacuation or shelter-in-place. But the occurring and developing process of the leakage of toxic-gas are much uncertain, so the decision makers should manage the scene and deicide...
The objective of this work is to develop mathematical models and tools to aid decision makers in devising capacity plans for a manufacturing network in face of uncertainty in future demand. A manufacturing network is constituted by a set of plants serving a set of markets with a set of products. It is specified in terms of a product portfolio for each market and a product portfolio, resource capacities...
This work proposes an approach which allows achieving an optimal and reactive tactical planning of an entity within a supply chain in the presence of uncertain parameters. Our approach is based on a two level decisional structure. The first level carries out an aggregate planning by minimizing the overall production costs. It then establishes ldquoa guiding planrdquo which is transmitted to the detailed...
In this work, we focus on solving large-scale UAV fleets scheduling problem in dynamically changing (i.e. external event-driven or operator induced selection) scenarios. This autonomous scheduling of planned tasks and allocation of resources is designed to provide real-time decision support to the operator for problem sizes that is intractable or infeasible by one or a set of operators. We begin by...
In this article, we propose a general-purpose disaster support system based on generalized (multiplicatively-weighted order-k Minkowski-metric) Voronoi diagrams. The proposed system is capable of handling disasters (or emergency units) having different weights in the complete order from 1 to k in the three popular Minkowski metrics (Euclidean, Manhattan and Maximum distance space). The proposed model...
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