US transmission systems and wholesale electricity markets, albeit federally regulated, often span across multiple state jurisdictions. In this environment, regulators can strategically exploit techno-economic coupling to advance their clean energy policy goals at the expense of neighboring This paper investigates strategic regulatory competition understand its effect on achieving Renewable Port...

Support vector machines (SVM) is one of the well known supervised machine learning model. The standard SVM models are dealing with situation where exact values data points known. This paper studies model when set contains uncertain or mislabelled points. To ensure small probability misclassification for data, a chance constrained conic-segmentation proposed multiclass classification. Based on s...

Joint chance-constrained optimization problems under discrete distributions arise frequently in financial management and business operations. These can be reformulated as mixed-integer programs. The size of integer programs is usually very large even though the original problem medium size. This paper studies an augmented Lagrangian decomposition method for finding high-quality feasible solutio...

Limitations on water resources and the high costs of new hydraulic structure construction intensify the need for an optimum operation of Iranian reservoir systems. For appropriate water distribution and management in a 9-reservoir system on the Kalamarz river, Mianeh basin optimizing mathematical models are applied. Considering the stochastic nature of river discharges and the constant amount o...

Limitations on water resources and the high costs of new hydraulic structure construction intensify the need for an optimum operation of Iranian reservoir systems. For appropriate water distribution and management in a 9-reservoir system on the Kalamarz river, Mianeh basin optimizing mathematical models are applied. Considering the stochastic nature of river discharges and the constant amount o...

This paper proposes two quadratic-constrained DEA models for evaluation of mutual funds performance, from a perspective of evaluation based on endogenous benchmarks. In comparison to previous studies, this paper decomposes two vital factors for mutual funds performance, i.e. risk and return, in order to define mutual funds’ endogenous benchmarks and give insights and suggestions for managements...

The purpose of this paper is to make an argument for utilizing the Data Envelopment Analysis (DEA) as a method to resolve conflicting goals in service performance management systems. Service businesses are faced with two particular challenges that introduce the need to trade-off metrics against each other. First, their rather intangible and perishable properties require incorporating nonfinanci...