Sustainable energies and machine learning: An organized review of recent applications and challenges
In alignment with the rapid development of artificial intelligence in the era of data
management, the application domains for machine learning have expanded to all …
management, the application domains for machine learning have expanded to all …
[HTML][HTML] How to connect energy islands: Trade-offs between hydrogen and electricity infrastructure
In light of offshore wind expansions in the North and Baltic Seas in Europe, further ideas on
using offshore space for renewable-based energy generation have evolved. One of the …
using offshore space for renewable-based energy generation have evolved. One of the …
The Pareto-optimal temporal aggregation of energy system models
The growing share of intermittent renewable energy sources, storage technologies, and the
increasing degree of so-called sector coupling necessitates optimization-based energy …
increasing degree of so-called sector coupling necessitates optimization-based energy …
[HTML][HTML] Model-based run-time and memory reduction for a mixed-use multi-energy system model with high spatial resolution
C Klemm, F Wiese, P Vennemann - Applied Energy, 2023 - Elsevier
Local and regional energy systems are becoming increasingly entangled. Therefore, models
for optimizing these energy systems are becoming more and more complex and the required …
for optimizing these energy systems are becoming more and more complex and the required …
Wind data introduce error in time-series reduction for capacity expansion modelling
Shares of renewable energy are rapidly increasing in many countries due to emissions
policies and declining prices. Investment planning for future renewable deployment often …
policies and declining prices. Investment planning for future renewable deployment often …
Time series aggregation for energy system design: review and extension of modelling seasonal storages
T Blanke, KS Schmidt, J Göttsche, B Döring, J Frisch… - Energy …, 2022 - Springer
Using optimization to design a renewable energy system has become a computationally
demanding task as the high temporal fluctuations of demand and supply arise within the …
demanding task as the high temporal fluctuations of demand and supply arise within the …
A multi-objective approach to determine time series aggregation strategies for optimal design of multi-energy systems
J Wang, L Kang, Y Liu - Energy, 2022 - Elsevier
The optimal topology and operation of multi-energy systems (MES) can be determined by
mathematical programming models, which are commonly difficult to solve due to the …
mathematical programming models, which are commonly difficult to solve due to the …
[HTML][HTML] AnyMOD. jl: A Julia package for creating energy system models
L Göke - SoftwareX, 2021 - Elsevier
AnyMOD. jl is a Julia framework for creating large-scale energy system models with multiple
periods of capacity expansion. It applies a novel graph-based approach that was developed …
periods of capacity expansion. It applies a novel graph-based approach that was developed …
A collective blueprint, not a crystal ball: How expectations and participation shape long-term energy scenarios
L Göke, J Weibezahn, C von Hirschhausen - Energy Research & Social …, 2023 - Elsevier
The development of energy systems is not a technocratic process but equally shaped by
societal and cultural forces. Key instruments in this process are model-based scenarios …
societal and cultural forces. Key instruments in this process are model-based scenarios …
Assessing the relative impacts of maximum investment rate and temporal detail in capacity expansion models applied to power systems
Capacity expansion models provide the basis on which to decide where, when, how much
and what technology type to deploy. In systems with large shares of variable renewable …
and what technology type to deploy. In systems with large shares of variable renewable …