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Tìm được 9 kết quả
Generating short-term probabilistic wind power scenarios via nonparametric forecast error density estimators [electronic resource] : Generating short-term probabilistic wind power scenarios via
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2017
Bộ sưu tập: Metadata
ddc:  656.6
 
Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing [electronic resource]
Tác giả:
Xuất bản: Golden, Colo. : Oak Ridge, Tenn: National Renewable Energy Laboratory (U.S.) ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2018
Bộ sưu tập: Metadata
ddc:  333.79
 
Implementation Scenarios for Electric Vehicle Roadway Wireless Power Transfer; NREL (National Renewable Energy Laboratory) [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2015
Bộ sưu tập: Metadata
ddc:  621.3846
 
Variability of Power from Large-Scale Solar Photovoltaic Scenarios in the State of Gujarat [electronic resource] : Preprint
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2014
Bộ sưu tập: Metadata
ddc:  333.79
 
The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios [electronic resource]
Tác giả:
Xuất bản: Berkeley, Calif. : Oak Ridge, Tenn: Lawrence Berkeley National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2010
Bộ sưu tập: Metadata
ddc:  621.47
 
Variability of Power from Large-Scale Solar Photovoltaic Scenarios in the State of Gujarat (Presentation) [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2014
Bộ sưu tập: Metadata
ddc:  333.79
 
Scenarios for Deep Carbon Emission Reductions from Electricity by 2050 in Western North America using the Switch Electric Power Sector Planning Model [electronic resource] : California's Carbon
Tác giả:
Xuất bản: Berkeley, Calif. : Oak Ridge, Tenn: Lawrence Berkeley National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2014
Bộ sưu tập: Metadata
ddc:  333.79
 
Hydrogen Carriers in Carbon Free Data Center [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2019
Bộ sưu tập: Metadata
ddc:  333.792
 
xét đến các kịch bản sạc xe điện = Determining the virtual power plant’s optimal schedule in the day-ahead market considering scenarios of charging electric vehicles
Tác giả: Hồng Nhung Nguyễn, Minh Quân Đặng, Trọng Hiếu Đào, Thị Thu Hà Lê, Minh Phúc Vũ
Xuất bản: Tạp chí Khoa học và công nghệ - Trường Đại học Đà Nẵng , 2024
Bộ sưu tập: Metadata
eBook (pdf)
ddc:  621.31
 
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