| 1 |
Estimating the learning rate of a technology with multiple variants: The case of carbon storage
Upstill G, Hall P
Energy Policy, 121, 498, 2018 |
| 2 |
The potential of marine energy technologies in the UK - Evaluation from a systems perspective
Zeyringer M, Fais B, Keppo I, Price J
Renewable Energy, 115, 1281, 2018 |
| 3 |
Experience curve development and cost reduction disaggregation for fuel cell markets in Japan and the US
Wei M, Smith SJ, Sohn MD
Applied Energy, 191, 346, 2017 |
| 4 |
Power capacity expansion planning considering endogenous technology cost learning
Heuberger CF, Rubin ES, Staffell I, Shah N, Mac Dowell N
Applied Energy, 204, 831, 2017 |
| 5 |
The role of technology diffusion in a decarbonizing world to limit global warming to well below 2 degrees C: An assessment with application of Global TIMES model
Huang WL, Chen WY, Anandarajah G
Applied Energy, 208, 291, 2017 |
| 6 |
Decarbonising road transport with hydrogen and electricity: Long term global technology learning scenarios
Anandarajah G, McDowall W, Ekins P
International Journal of Hydrogen Energy, 38(8), 3419, 2013 |
| 7 |
Technology learning in a small open economy-The systems, modelling and exploiting the learning effect
Martinsen T
Energy Policy, 39(5), 2361, 2011 |
| 8 |
Introducing technology learning for energy technologies in a national CGE model through soft links to global and national energy models
Martinsen T
Energy Policy, 39(6), 3327, 2011 |
| 9 |
Global technology learning and national policy-An incentive scheme for governments to assume the high cost of early deployment exemplified by Norway
Martinsen T
Energy Policy, 38(8), 4163, 2010 |
| 10 |
Use and limitations of learning curves for energy technology policy: A component-learning hypothesis
Ferioli F, Schoots K, van der Zwaan BCC
Energy Policy, 37(7), 2525, 2009 |
