Dylan Jones

TL;DR: In this article, the basic philosophy underlying investor portfolio stems from economic utility theory and many mathematical models have been applied to portfolio selection, however a major drawback of these methods is that a vast majority of input data is needed which requires a large amount of computation.

TL;DR: A bi-objective optimisation using a compromise programming approach is proposed for installation scheduling of an offshore wind farm and the proposed metaheuristic approaches produce interesting results as the optimal solution for some cases is obtained.

TL;DR: In this paper, the authors present a decision support system (DSS) for maintenance cost optimisation at an Offshore Wind Farm (OWF) with the overall goal of informing maintenance strategy and hence reducing overall lifecycle maintenance costs at the OWF.

TL;DR: In this article, the efficiency of 71 offshore wind farms across five north-western European countries is assessed using the Data Envelopment Analysis (DEA) method, where the number of turbines, cost, distance to shore, and area of the wind farms are selected as the inputs and the connectivity to population centres, the produced electricity and the water depth are considered as the outputs.

TL;DR: The number of problems to be solved and the number of constraints in the model can be decreased and the winner can be selected with a fewer efforts and in some cases without solving any problems.