activity
20172026
most citedOpening the black box of energy modelling: Strategies and lessons learned

254 citations · 397 across the 9 of their papers we have counts for

collaborators

10 papers

econ.GN2026

The missing price feedback: Why studies overstate local peaks from synchronized home batteries under dynamic pricing

Lion Hirth

Existing studies consistently find that home batteries and electric vehicles optimized against real-time electricity prices create new load peaks in local distribution grids, becau…

econ.GN2026

Do wind and solar curtail at negative electricity prices? Incentives and evidence across two decades of German renewable support schemes

Lion Hirth

In many power systems, wind and solar generation increasingly often exceeds electricity demand. Curtailing renewable generation in those hours matters both for prices and for the p…

econ.GN2026

De-risking renewable energy investments: Assessing contract design and project finance using operational wind park data

Jorge Sánchez Canales, Lion Hirth

Investment in renewable electricity generation is highly capital intensive and therefore strongly dependent on financing conditions. In Europe, much of this investment has occurred…

econ.EM2025

An empirical estimate of the electricity supply curve from market outcomes

Jorge Sánchez Canales, Alice Lixuan Xu, Chiara Fusar Bassini +2

Researchers and electricity sector practitioners frequently require the supply curve of electricity markets and the price elasticity of supply for purposes such as price forecastin…

econ.GN2025

Market power abuse in wholesale electricity markets

Alice Lixuan Xu, Jorge Sánchez Canales, Chiara Fusar Bassini +2

In wholesale electricity markets, prices fluctuate widely from hour to hour and electricity generators price-hedge their output using longer-term contracts, such as monthly base fu…

cs.CY2025

Revealing the empirical flexibility of gas units through deep clustering

Chiara Fusar Bassini, Alice Lixuan Xu, Jorge Sánchez Canales +2

The flexibility of a power generation unit determines how quickly and often it can ramp up or down. In energy models, it depends on assumptions on the technical characteristics of…

econ.EM2024★ 1 cited

Identifying Elasticities in Autocorrelated Time Series Using Causal Mechanism Graphs

Silvana Tiedemann, Jorge Sanchez Canales, Felix Schur +5

Instrumental variable (IV) methods are widely used to estimate the price elasticity of demand from observational data. However, naive IV estimators may be inconsistent in settings…

econ.EM2024★ 1 cited

Cross-border cannibalization: Spillover effects of wind and solar energy on interconnected European electricity markets

Clemens Stiewe, Alice Lixuan Xu, Anselm Eicke +1

The average revenue, or market value, of wind and solar energy tends to fall with increasing market shares, as is now evident across European electricity markets. At the same time,…

cs.CY2019★ 141 cited

Open Power System Data - Frictionless data for electricity system modelling

Frauke Wiese, Ingmar Schlecht, Wolf-Dieter Bunke +8

The quality of electricity system modelling heavily depends on the input data used. Although a lot of data is publicly available, it is often dispersed, tedious to process and part…

cs.CY2017★ 254 cited

Opening the black box of energy modelling: Strategies and lessons learned

Stefan Pfenninger, Lion Hirth, Ingmar Schlecht +21

The global energy system is undergoing a major transition, and in energy planning and decision-making across governments, industry and academia, models play a crucial role. Because…