Zhang, J., Hauch., J.A., Brabec, C.J. Acc. Chem. Res. 2024 In the ever-increasing renewable-energy demand scenario, developing new photovoltaic technologies is important, even in the presence of established terawatt-scale silicon…
Beyond the shimmering facade of solar panels lies a realm where the marriage of technology and renewable energy takes center stage, driven by the transformative capabilities of Artificial Intelligence. Marius…
On sunny days, up to 60% of the electricity in Germany is produced by photovoltaics (PV). This is good news to fight climate change, but the land use by large…
Lüer L., Peters I.M., Smith A.S., Dorschky E., Eskofier B., Liers-Bergmann F., Franke J., Sjarov M., Brossog M., Guldi D.M., Maier A., Brabec C.J. Joule 8 (2024), 1-17 The recent…
This video highlights the fusion of technology and data insights shaping renewable energy’s future. By leveraging data analytics, the researchers not only identify faults but also chart paths for more…
Limited efficiency, difficult to recycle— the expansion of photovoltaics has hit a roadblock. Christoph Brabec, Ian Marius Peters, and Verena Tiefenbeck have joined forces to change that. Christoph Brabec is…
Jana Dienstbier, Frauke Liers, Jan Rolfes https://arxiv.org/abs/2310.05612 Single-level reformulations of (non-convex) distributionally robust optimization (DRO) problems are often intractable, as they contain semiinfinite dual constraints. Based on such a semiinfinite…
Jana Dienstbier, Frauke Liers, Jan Rolfes https://arxiv.org/abs/2301.11185 In this work, we present algorithmically tractable safe approximations of distributionally robust optimization (DRO) problems. The considered ambiguity sets can exploit information on…
