This paper proposes a bilevel model to assist a generation company in making its long-term
generation capacity investment decisions considering uncertainty regarding the investments …

We consider two game-theoretic models of the generation capacity expansion problem in
liberalized electricity markets. The first is an open loop equilibrium model, where generation …

In this paper, we develop a long-term capacity expansion analysis model that considers
strategic bidding behavior by dominant generation companies together with new entry …

In this paper we propose a methodology to approximate closed loop capacity equilibria
using only open loop capacity equilibrium models. In the closed loop model, generation …

A new hybrid framework based on game theory and dynamic programming (DP) with
random demands and prices is proposed for studying the impacts of regulatory interventions …

We analyze the problem of technology selection and capacity investment for electricity
generation in a competitive environment under uncertainty. Adopting a Nash-Cournot …

In this paper, a novel framework for the estimation of optimal investment strategies for
combined wind-thermal companies is proposed. The medium-term restructured power …

With introducing demand response provider (DRP) in smart grid paradigm, small consumers
can actively participate in various demand response programs, especially price-based …

Market power in concentrated wholesale markets like Ukraine can lead to inefficient price
and dispatch outcomes. This paper presents an intertemporal Cournot-Nash game-theoretic …

In view of the current nuclear power debate in Belgium, we analyze how uncertainty about a
nuclear phase-out, coupled with the implementation of renewable energy subsidies and …