Add to ORKGInternational audienceHydro power production strictly depends on the geography and weather peculiarity of locations where power plants are settled. In this paper, we produce long term estimates of hydro power capacity factors for all European countries based on future climate scenarios. We use machine learning techniques for formalizing models able to capture the complex relation between climate variables and energy production on a European scale and use the results of regional and global climate models for future projections
Abstract Machine learning is arising as a major solution for the photovoltaic (PV) power prediction....
Worldwide, 98% of total electricity is currently produced by thermoelectric power and hydropower. Cl...
As the effects of climate change are becoming severe, countries need to substantially reduce carbon ...
International audienceHydro power production strictly depends on the geography and weather peculiari...
A big challenge of sustainable power systems is the integration of climate variability into the oper...
Hydro power can provide a source of dispatchable low-carbon electricity and a storage solution in a ...
International audienceA big challenge of sustainable power systems is to integrate climate variabili...
International audienceAnalyzing the impact of climate variables into the operational planning proces...
Hydro-power is a widespread source of energy, which currently provides over 60% of total renewable ...
This study presents a model-based approach for analyzing the possible effects of global change on Eu...
Currently, hydropower accounts for close to 16% of the world’s total power supply and is the world’s...
This study proposes a climate service named Smart Climate Hydropower Tool (SCHT) and designed as a h...
International audienceClimate and weather conditions not only strongly influence energy demand but-w...
Climate change can strongly affect renewable energy production. The state of the art in projecting f...
Worldwide, 98% of total electricity is currently produced by thermoelectric power and hydropower. Cl...
Abstract Machine learning is arising as a major solution for the photovoltaic (PV) power prediction....
Worldwide, 98% of total electricity is currently produced by thermoelectric power and hydropower. Cl...
As the effects of climate change are becoming severe, countries need to substantially reduce carbon ...
International audienceHydro power production strictly depends on the geography and weather peculiari...
A big challenge of sustainable power systems is the integration of climate variability into the oper...
Hydro power can provide a source of dispatchable low-carbon electricity and a storage solution in a ...
International audienceA big challenge of sustainable power systems is to integrate climate variabili...
International audienceAnalyzing the impact of climate variables into the operational planning proces...
Hydro-power is a widespread source of energy, which currently provides over 60% of total renewable ...
This study presents a model-based approach for analyzing the possible effects of global change on Eu...
Currently, hydropower accounts for close to 16% of the world’s total power supply and is the world’s...
This study proposes a climate service named Smart Climate Hydropower Tool (SCHT) and designed as a h...
International audienceClimate and weather conditions not only strongly influence energy demand but-w...
Climate change can strongly affect renewable energy production. The state of the art in projecting f...
Worldwide, 98% of total electricity is currently produced by thermoelectric power and hydropower. Cl...
Abstract Machine learning is arising as a major solution for the photovoltaic (PV) power prediction....
Worldwide, 98% of total electricity is currently produced by thermoelectric power and hydropower. Cl...
As the effects of climate change are becoming severe, countries need to substantially reduce carbon ...