Search Results - "Dubus, Laurent"
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A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata
Published in Scientific data (28-01-2023)“…Photovoltaic (PV) energy generation plays a crucial role in the energy transition. Small-scale, rooftop PV installations are deployed at an unprecedented pace,…”
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Advances in solar forecasting: Computer vision with deep learning
Published in Advances in applied energy (01-09-2023)“…Renewable energy forecasting is crucial for integrating variable energy sources into the grid. It allows power systems to address the intermittency of the…”
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Remote-Sensing-Based Estimation of Rooftop Photovoltaic Power Production Using Physical Conversion Models and Weather Data
Published in Energies (Basel) (30-08-2024)“…The global photovoltaic (PV) installed capacity, vital for the electric sector’s decarbonation, reached 1552.3 GWp in 2023. In France, the capacity stood at…”
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Towards a future-proof climate database for European energy system studies
Published in Environmental research letters (01-12-2022)“…In 2013, the European Network of Transmission System Operators (TSOs) for electricity (ENTSO-E) created the Pan-European Climate Database (PECD), a tool that…”
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Reconstruction of Multidecadal Country-Aggregated Hydro Power Generation in Europe Based on a Random Forest Model
Published in Energies (Basel) (01-04-2020)“…Hydro power can provide a source of dispatchable low-carbon electricity and a storage solution in a climate-dependent energy mix with high shares of wind and…”
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C3S Energy: A climate service for the provision of power supply and demand indicators for Europe based on the ERA5 reanalysis and ENTSO‐E data
Published in Meteorological applications (01-09-2023)“…The EU Copernicus Climate Change Service (C3S) has produced an operational climate service, called C3S Energy, designed to enable the energy industry and…”
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A climate projection dataset tailored for the European energy sector
Published in Climate services (01-12-2019)“…•Dataset for energy sector is created to facilitate the use of climate data.•Sub-ensemble selection is use to reduce the data size without losing…”
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A simplified seasonal forecasting strategy, applied to wind and solar power in Europe
Published in Climate services (01-08-2022)“…[Display omitted] •The skill in seasonal forecasts of wind and irradiance in Europe is patchy.•A linear regression method can produce calibrated probabilistic…”
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A parametric model for wind turbine power curves incorporating environmental conditions
Published in Renewable energy (01-09-2020)“…A wind turbine’s power curve relates its power production to the wind speed it experiences. The typical shape of a power curve is well known and has been…”
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Improvement of satellite-derived surface solar irradiance estimations using spatio-temporal extrapolation with statistical learning
Published in Solar energy (01-07-2023)“…Estimations of solar surface irradiance (SSI) derived from meteorological satellites are widely used by various actors in the solar industry. However, even…”
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A conditional and regularized approach for large-scale spatiotemporal wind power forecasting
Published in Sustainable energy technologies and assessments (01-05-2024)“…Large-scale wind power forecasting at intraday horizons of minutes-ahead up to hours-ahead is essential to secure important operations in transmission systems…”
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DNI and slant path transmittance for the solar resource of tower thermal solar plants: The validation of the ASoRA method and impact in exploiting a global data set
Published in Solar energy (15-03-2021)“…•The ASoRA method estimates the atmospheric attenuation in a tower CSP.•The atmospheric attenuation occurs in the atmospehric column and in the slant…”
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Modeling climate change impact on inflow and hydropower generation of Nangbeto dam in West Africa using multi-model CORDEX ensemble and ensemble machine learning
Published in Applied energy (01-11-2022)“…•We assess the potential impacts of climate change on inflow to reservoir and hydropower generation using multi-model CORDEX ensemble and ensemble machine…”
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C3S Energy: A climate service for the provision of power supply and demand indicators for Europe based on the ERA5 reanalysis and ENTSO‐E data
Published in Meteorological applications (11-09-2023)“…Abstract The EU Copernicus Climate Change Service (C3S) has produced an operational climate service, called C3S Energy, designed to enable the energy industry…”
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A parametric model for wind turbine power curves incorporating environmental conditions
Published in Renewable energy (01-09-2020)Get full text
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A simplified seasonal forecasting strategy, applied to wind and solar power in Europe
Published in Climate services (01-08-2022)Get full text
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An approach for the estimation of the aggregated photovoltaic power generated in several European countries from meteorological data
Published in Advances in science and research (02-05-2018)“…Classical approaches to the calculation of the photovoltaic (PV) power generated in a region from meteorological data require the knowledge of the detailed…”
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An approach for the estimation of the aggregated photovoltaic power generated in several European countries from meteorological data
Published in Advances in science and research (02-05-2018)“…Classical approaches to the calculation of the photovoltaic (PV) power generated in a region from meteorological data require the knowledge of the detailed…”
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Creating a proof-of-concept climate service to assess future renewable energy mixes in Europe: An overview of the C3S ECEM project
Published in Advances in science and research (23-08-2018)“…The EU Copernicus Climate Change Service (C3S) European Climatic Energy Mixes (ECEM) has produced, in close collaboration with prospective users, a…”
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Forecasting precipitation for hydroelectric power management: how to exploit GCM's seasonal ensemble forecasts
Published in International journal of climatology (01-10-2007)“…The EDF group is the biggest French electric power producer and distributor. Its activities are greatly related to weather and climate. In particular, optimal…”
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