Datasets and time series for energy policy research and modelling
Chaianong A, Hoffart FM, Kerker N, Lilliestam J, Weko S (2024)
Publication Language: English
Publication Type: Conference contribution, Abstract of lecture
Publication year: 2024
Publisher: zenodo
Event location: Hannover
Abstract
To reach the Paris Agreement’s goal to limit global warming to 1.5°C, a crucial system-wide transformation, and relevant public policies are required to push toward a sustainable, innova- tive, and inclusive future for different sectors, including the energy sector [1]. Interdisciplinary energy models have become essential tools to support the policy-making process of the low- carbon transition, as discussed in [2], [3]. However, most empirical analyses rarely focus on integrating social and political factors into their studies. Moreover, published open-access en- ergy policy research datasets are scarce or not in machine-readable formats [4]. As a result, we aim to develop practices for collecting datasets for energy policy-related research that could support more efficient research in the field and enable the quantitative analysis of energy pol- icy/social and political factors into energy modelling
Authors with CRIS profile
Aksornchan Chaianong
Lehrstuhl für Sustainability Transition Policy
Johan Lilliestam
Lehrstuhl für Sustainability Transition Policy
Silvia Weko
Lehrstuhl für Sustainability Transition Policy
Involved external institutions
How to cite
APA:
Chaianong, A., Hoffart, F.M., Kerker, N., Lilliestam, J., & Weko, S. (2024). Datasets and time series for energy policy research and modelling. Paper presentation at 1. NFDI4Energy Conference 2024, Hannover, DE.
MLA:
Chaianong, Aksornchan, et al. "Datasets and time series for energy policy research and modelling." Presented at 1. NFDI4Energy Conference 2024, Hannover zenodo, 2024.
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