On the benefits of using metaheuristics in the hyperparameter tuning of deep learning models for energy load forecasting
An effective energy oversight represents a major concern throughout the world, and the
problem has become even more stringent recently. The prediction of energy load and …
problem has become even more stringent recently. The prediction of energy load and …
Citizen science and citizen energy communities: A systematic review and potential alliances for SDGs
Citizen science and citizen energy communities are pluralistic terms that refer to a
constellation of methods, projects, and outreach activities; however, citizen science and …
constellation of methods, projects, and outreach activities; however, citizen science and …
[HTML][HTML] Diversity of options to eliminate fossil fuels and reach carbon neutrality across the entire European energy system
Disagreements persist on how to design a self-sufficient, carbon-neutral European energy
system. To explore the diversity of design options, we develop a high-resolution model of the …
system. To explore the diversity of design options, we develop a high-resolution model of the …
Offshore wind competitiveness in mature markets without subsidy
Offshore wind energy development has been driven by government support schemes;
however, recent cost reductions raise the prospect of offshore wind power becoming …
however, recent cost reductions raise the prospect of offshore wind power becoming …
[HTML][HTML] Time series of heat demand and heat pump efficiency for energy system modeling
With electric heat pumps substituting for fossil-fueled alternatives, the temporal variability of
their power consumption becomes increasingly important to the electricity system. To easily …
their power consumption becomes increasingly important to the electricity system. To easily …
[HTML][HTML] AI-enabled metaheuristic optimization for predictive management of renewable energy production in smart grids
The integration of renewable energy sources into smart grids offers a promising solution for
building sustainable and reliable energy systems. However, optimizing hybrid renewable …
building sustainable and reliable energy systems. However, optimizing hybrid renewable …
[HTML][HTML] Assessing the performance of deep learning models for multivariate probabilistic energy forecasting
Deep learning models have the potential to advance the short-term decision-making of
electricity market participants and system operators by capturing the complex dependences …
electricity market participants and system operators by capturing the complex dependences …
[HTML][HTML] Climatological analysis of solar and wind energy in Germany using the Grosswetterlagen classification
J Drücke, M Borsche, P James, F Kaspar, U Pfeifroth… - Renewable Energy, 2021 - Elsevier
Solar and wind energy play an important role in current and future energy supply in
Germany and Europe. The production of renewable energy highly depends on weather …
Germany and Europe. The production of renewable energy highly depends on weather …
[HTML][HTML] Open model-based analysis of a 100% renewable and sector-coupled energy system–The case of Germany in 2050
MNI Maruf - Applied Energy, 2021 - Elsevier
The ambitious energy target to achieve climate-neutrality in the European Union (EU)
energy system raises the feasibility question of using only renewables across all energy …
energy system raises the feasibility question of using only renewables across all energy …
The economics of variable renewable energy and electricity storage
J López Prol, WP Schill - Annual Review of Resource Economics, 2021 - annualreviews.org
The transformation of the electricity sector is a central element of the transition to a
decarbonized economy. Conventional generators powered by fossil fuels have to be …
decarbonized economy. Conventional generators powered by fossil fuels have to be …