1 |
Estimating future costs of power-to-gas - a component-based approach for technological learning Bohm H, Goers S, Zauner A International Journal of Hydrogen Energy, 44(59), 30789, 2019 |
2 |
Energy paradox and political intervention: A stochastic model for the case of electrical equipments Jridi O, Jridi M, Barguaoui SA, Nouri FZ Energy Policy, 93, 59, 2016 |
3 |
A retrospective analysis of compact fluorescent lamp experience curves and their correlations to deployment programs Smith SJ, Wei M, Sohn MD Energy Policy, 98, 505, 2016 |
4 |
Residual learning rates in lead-acid batteries: Effects on emerging technologies Matteson S, Williams E Energy Policy, 85, 71, 2015 |
5 |
The role of experience curves for setting MEPS for appliances Siderius HP Energy Policy, 59, 762, 2013 |
6 |
Market penetration analysis of electric vehicles in the German passenger car market towards 2030 Propfe B, Kreyenberg D, Wind J, Schmid S International Journal of Hydrogen Energy, 38(13), 5201, 2013 |
7 |
Learning rates and future cost curves for fossil fuel energy systems with CO2 capture: Methodology and case studies Li S, Zhang XS, Gao L, Jin HG Applied Energy, 93, 348, 2012 |
8 |
Experience curve analysis on South Korean nuclear technology and comparative analysis with South Korean renewable technologies Kim DW, Chang HJ Energy Policy, 40, 361, 2012 |
9 |
Feasibility study of 2020 target costs for PEM fuel cells and lithium-ion batteries: A two-factor experience curve approach Mayer T, Kreyenberg D, Wind J, Braun F International Journal of Hydrogen Energy, 37(19), 14463, 2012 |
10 |
Thin films in photovoltaics: Technologies and perspectives Hoffmann W, Pellkofer T Thin Solid Films, 520(12), 4094, 2012 |