Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model

By Timo Kuosmanen. 2012

166 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/23e6f630bb2143aff03e18c3721850fafcbb0a35

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Antti Saastamoinen
2. Timo Sipiläinen
3. Timo Kuosmanen

In Management Science and Operations Research

1. Timo Sipiläinen
2. Antti Saastamoinen
3. Timo Kuosmanen

In Renewable Energy, Sustainability and the Environment

1. Antti Saastamoinen
2. Timo Sipiläinen
3. Timo Kuosmanen

Citations in the corpus

• What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods (2013, methodology): “Note that the parametric formulation of the contextual variable is analogous to the conventional two-stage DEA approach of regressing DEA efficiency scores on contextual variables z (e.g., Simar and Wilson, 2007; Banker and Natarajan, 2008; Johnson and Kuosmanen, 2011, 2012).”