The Experts below are selected from a list of 385200 Experts worldwide ranked by ideXlab platform

Barbara Koch - One of the best experts on this subject based on the ideXlab platform.

  • A new thinking for Renewable Energy model: Remote sensing-based Renewable Energy model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the Renewable Energy potential and integration of the Renewable Energy model. Three methods for assessing the Renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of Renewable Energy potential, which is the first vital step to develop Renewable Energy model. The paper then first presents three integrations of the Renewable Energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

  • A new thinking for Renewable Energy model: Remote sensing‐based Renewable Energy model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the Renewable Energy potential and integration of the Renewable Energy model. Three methods for assessing the Renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of Renewable Energy potential, which is the first vital step to develop Renewable Energy model. The paper then first presents three integrations of the Renewable Energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

Shifeng Wang - One of the best experts on this subject based on the ideXlab platform.

  • A new thinking for Renewable Energy model: Remote sensing-based Renewable Energy model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the Renewable Energy potential and integration of the Renewable Energy model. Three methods for assessing the Renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of Renewable Energy potential, which is the first vital step to develop Renewable Energy model. The paper then first presents three integrations of the Renewable Energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

  • A new thinking for Renewable Energy model: Remote sensing‐based Renewable Energy model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the Renewable Energy potential and integration of the Renewable Energy model. Three methods for assessing the Renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of Renewable Energy potential, which is the first vital step to develop Renewable Energy model. The paper then first presents three integrations of the Renewable Energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

Michael Obersteiner - One of the best experts on this subject based on the ideXlab platform.

  • A new thinking for Renewable Energy model: Remote sensing-based Renewable Energy model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the Renewable Energy potential and integration of the Renewable Energy model. Three methods for assessing the Renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of Renewable Energy potential, which is the first vital step to develop Renewable Energy model. The paper then first presents three integrations of the Renewable Energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

  • A new thinking for Renewable Energy model: Remote sensing‐based Renewable Energy model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the Renewable Energy potential and integration of the Renewable Energy model. Three methods for assessing the Renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of Renewable Energy potential, which is the first vital step to develop Renewable Energy model. The paper then first presents three integrations of the Renewable Energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

Sylvain Leduc - One of the best experts on this subject based on the ideXlab platform.

  • A new thinking for Renewable Energy model: Remote sensing-based Renewable Energy model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the Renewable Energy potential and integration of the Renewable Energy model. Three methods for assessing the Renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of Renewable Energy potential, which is the first vital step to develop Renewable Energy model. The paper then first presents three integrations of the Renewable Energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

  • A new thinking for Renewable Energy model: Remote sensing‐based Renewable Energy model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the Renewable Energy potential and integration of the Renewable Energy model. Three methods for assessing the Renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of Renewable Energy potential, which is the first vital step to develop Renewable Energy model. The paper then first presents three integrations of the Renewable Energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

Sicong Wang - One of the best experts on this subject based on the ideXlab platform.

  • A new thinking for Renewable Energy model: Remote sensing-based Renewable Energy model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the Renewable Energy potential and integration of the Renewable Energy model. Three methods for assessing the Renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of Renewable Energy potential, which is the first vital step to develop Renewable Energy model. The paper then first presents three integrations of the Renewable Energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

  • A new thinking for Renewable Energy model: Remote sensing‐based Renewable Energy model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the Renewable Energy potential and integration of the Renewable Energy model. Three methods for assessing the Renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of Renewable Energy potential, which is the first vital step to develop Renewable Energy model. The paper then first presents three integrations of the Renewable Energy model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.