Modeling technical change in energy system analysis: analyzing the introduction of learning-by-doing in bottom-up energy models

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From fossil fuels to renewables: An analysis of long-term scenarios considering technological learning (2019, background): “The corresponding change in price compared to its previous price with each doubling of capacity is referred to as “progress ratio” (Berglund and Söderholm, 2006).”
Wind power learning rates: A conceptual review and meta-analysis☆ (2012, background): “In bottom-up energy system models endogenous technological change is introduced by implementing so-called technology learning rates (Berglund and Söderholm, 2006), the latter specifying the quantitative relationship between the cumulative experience of the technology and its cost.”
The Effect of Local and Global Learning on the Cost of Renewable Energy in Developing Countries (2016, unknown): “We chose a bottom-up, techno-economic model (Berglund and Söderholm, 2006) because it allows us to study the effects of cost dynamics on the technology-level on the aggregate cost of renewable energy policies (Kahouli-Brahmi, 2008).”
Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies (2007, background): “[5], Barreto and Kypreos [6], and the survey article by Berglund and Söderholm [7].”