Pathways for the transition of the Polish power sector and associated risks

[1]  Bart Kosko,et al.  Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..

[2]  Stephen H. Schneider,et al.  Induced technological change and the attractiveness of CO2 abatement policies , 1999 .

[3]  P. Denholm,et al.  Evaluating the Limits of Solar Photovoltaics (PV) in Traditional Electric Power Systems , 2007 .

[4]  Kasper Kok,et al.  Linking stakeholders and modellers in scenario studies: The use of Fuzzy Cognitive Maps as a communication and learning tool , 2010 .

[5]  Maciej Bukowski,et al.  Large scale, multi-sector DSGE model as a climate policy assessment tool - Macroeconomic Mitigation Options (MEMO) model for Poland , 2010 .

[6]  Peter P. Groumpos,et al.  Fuzzy Cognitive Maps: Basic Theories and Their Application to Complex Systems , 2010 .

[7]  J. Bergh,et al.  Industry evolution, rational agents and the transition to sustainable electricity production , 2011 .

[8]  Erika Jorgensen,et al.  Transition to a low-emissions economy in Poland , 2011 .

[9]  P. Aghion,et al.  The Environment and Directed Technical Change , 2009, The American economic review.

[10]  Mark E. Borsuk,et al.  Methods for translating narrative scenarios into quantitative assessments of land use change , 2016, Environ. Model. Softw..

[11]  David Elliott,et al.  A balancing act for renewables , 2016, Nature Energy.

[12]  Simone D'Alessandro,et al.  Systems-dynamic analysis of employment and inequality impacts of low-carbon investments , 2016 .

[13]  W. Winiwarter,et al.  EU Reference Scenario 2016 - Energy, transport and GHG emissions Trends to 2050. , 2016 .

[14]  Gordon H. Hanson,et al.  The China Shock: Learning from Labor Market Adjustment to Large Changes in Trade , 2016, SSRN Electronic Journal.

[15]  Marta Olazabal,et al.  Use of fuzzy cognitive maps to study urban resilience and transformation , 2016 .

[16]  Alexandros Nikas,et al.  Developing Robust Climate Policies: A Fuzzy Cognitive Map Approach , 2016 .

[17]  D. Hess,et al.  Local matters: Political opportunities, spatial scale, and support for green jobs policies , 2017 .

[18]  J. Hanson Established industries as foundations for emerging technological innovation systems: The case of solar photovoltaics in Norway , 2017 .

[19]  Vergini Eleni,et al.  New concerns on fuzzy cognitive maps equation and sigmoid function , 2017, 2017 25th Mediterranean Conference on Control and Automation (MED).

[20]  Alexandros Nikas,et al.  Managing stakeholder knowledge for the evaluation of innovation systems in the face of climate change , 2017, J. Knowl. Manag..

[21]  K. Riahi,et al.  The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century , 2017 .

[22]  Stephan Kampelmann,et al.  Curating complexity: An artful approach for real-world system transitions , 2017 .

[23]  Olga Kiuila Decarbonisation perspectives for the Polish economy , 2018, Energy Policy.

[24]  Alexandros Nikas,et al.  Expert views on low-carbon transition strategies for the Dutch solar sector: A delay-based fuzzy cognitive mapping approach , 2018 .

[25]  M. Antosiewicz,et al.  Managing coal sector transition under the ambitious emission reduction scenario in Poland. Focus on labour , 2018 .

[26]  A review of the offshore wind innovation system in Poland , 2018 .

[27]  Alexandros Nikas,et al.  From Integrated to Integrative: Delivering on the Paris Agreement , 2018, Sustainability.

[28]  Adam Mayer A just transition for coal miners? Community identity and support from local policy actors , 2018, Environmental Innovation and Societal Transitions.

[29]  Alexandros Nikas,et al.  A Detailed Overview and Consistent Classification of Climate-Economy Models , 2018, Understanding Risks and Uncertainties in Energy and Climate Policy.