@article {1166,
	title = {Karbon Vergisi ile Sera Gaz{\i} Emisyonlar{\i}n{\i}n Azalt{\i}m{\i}: Turkiye Vakas{\i}.},
	journal = {International Relations/Uluslararasi Iliskiler},
	volume = {14},
	year = {2017},
	author = {G{\"u}rkan Kumbaro{\u g}lu and {\.I}lhan Or and I{\c S}IK, Mine}
}
@article {1476,
	title = {Modeling and analysis of a decentralized electricity market: An integrated simulation/optimization approach},
	journal = {Energy},
	volume = {44},
	year = {2012},
	pages = {830-852},
	abstract = {<p>In this study, a model is developed to investigate the implications of an hourly day-ahead competitive power market on generator profits, electricity prices, availability and supply security. An integrated simulation/optimization approach is employed integrating a multi-agent simulation model with two alternative optimization models. The simulation model represents interactions between power generator, system operator, power user and power transmitter agents while the network flow optimization model oversees and optimizes the electricity flows, dispatches generators based on two alternative approaches used in the modeling of the underlying transmission network: a linear minimum cost network flow model and a non-linear alternating current optimal power flow model. Supply, demand, transmission, capacity and other technological constraints are thereby enforced. The transmission network, on which the scenario analyses are carried out, includes 30 bus, 41 lines, 9 generators, and 21 power users. The scenarios examined in the analysis cover various settings of transmission line capacities/fees, and hourly learning algorithms. Results provide insight into key behavioral and structural aspects of a decentralized electricity market under network constraints and reveal the importance of using an AC network instead of a simplified linear network flow approach.</p>},
	keywords = {Alternative current optimum power flow, Electricity market modeling and design, Minimum cost network flow, Multi-agent simulation},
	issn = {0360-5442},
	doi = {https://doi.org/10.1016/j.energy.2012.05.009},
	url = {https://www.sciencedirect.com/science/article/pii/S036054421200388X},
	author = {Kemal Sar{\i}ca and G{\"u}rkan Kumbaro{\u g}lu and {\.I}lhan Or}
}
@article {1478,
	title = {What determines urban households{\textquoteright} willingness to pay for CO2 emission reductions in Turkey: A contingent valuation survey},
	journal = {Energy Policy},
	volume = {39},
	year = {2011},
	pages = {689-698},
	abstract = {<p>This paper explores Turkish urban households{\textquoteright} willingness to pay (WTP) for CO2 emission reductions expected to result from improvements in power production. A face-to-face questionnaire, with a Contingent valuation (CV) module prepared using the double-bounded dichotomous choice elicitation framework, was administered to 2422 respondents representative of urban Turkey{\textemdash}a developing country with low but rapidly increasing greenhouse gas emissions. The determinants of WTP were identified by considering not only the impact of standard socio-economic factors but also the effects of environmental knowledge, attitudes and behaviour, the relevance of the identity of the collection agent (national versus international institutions) in terms of trust people have towards them, and the degree of perceived participation of others in the realization of the project. Our study confirms the existing literature in demonstrating that WTP figures reported by young and educated people that are active on environmental issues, and who also possess material security and environmental knowledge, are more likely to be high. However, their willingness to make contributions is hampered significantly by their belief that their fellow citizens will not contribute and the general lack of trust in institutions. Overall, this study may be taken as a call to eliminate governance-related uncertainties in climate change deals.</p>},
	keywords = {Climate change, Contingent valuation, Turkey},
	issn = {0301-4215},
	doi = {https://doi.org/10.1016/j.enpol.2010.10.042},
	url = {https://www.sciencedirect.com/science/article/pii/S0301421510007937},
	author = {Fikret Adaman and Nihan Karal{\i} and G{\"u}rkan Kumbaro{\u g}lu and {\.I}lhan Or and Beg{\"u}m {\"O}zkaynak and {\"U}nal Zenginobuz}
}
