Results 101 to 110 of about 635,385 (303)

Wind energy conversion technologies and engineering approaches to enhancing wind power generation: A review. [PDF]

Heliyon, 2022
Desalegn B, Gebeyehu D, Tamirat B.
europepmc   +1 more source

Wind power generation variations and aggregation [PDF]

CSEE Journal of Power and Energy Systems, 2021
Cong Wu, Xiao-Ping Zhang, Michael Sterling   +2 more
openaire   +2 more sources

An Unsupervised Deep Learning Approach for Scenario Forecasts

, 2018
In this paper, we propose a novel scenario forecasts approach which can be applied to a broad range of power system operations (e.g., wind, solar, load) over various forecasts horizons and prediction intervals. This approach is model-free and data-driven,
Chen, Yize, Wang, Xiyu, Zhang, Baosen
core   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Fuzzy-based prediction of solar PV and wind power generation for microgrid modeling using particle swarm optimization. [PDF]

Heliyon, 2023
Teferra DM, Ngoo LMH, Nyakoe GN.
europepmc   +1 more source

Output characteristics of tidal current power stations [PDF]

, 2004
With increasing targets being set for renewable-derived electricity generation, wind power is currently the preferred technology. It is widely accepted that due to the stochastic nature of wind, there is an upper limit to the capacity that can be ...
Clarke, Joseph Andrew, Grant, Andrew, Johnstone, Cameron   +2 more
core  

Enhanced Estimation of Autoregressive Wind Power Prediction Model Using Constriction Factor Particle Swarm Optimization

, 2014
Accurate forecasting is important for cost-effective and efficient monitoring and control of the renewable energy based power generation. Wind based power is one of the most difficult energy to predict accurately, due to the widely varying and ...
Anwar, Adnan, Mahmood, Abdun Naser
core   +1 more source

A Prospective Study of Individuals at Risk of Multiple Sclerosis Informs the Design of Primary Prevention Studies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective In multiple sclerosis, the optimal time for deploying a therapeutic intervention is before the central nervous system is damaged; given the success of trials treating the earliest stage of MS, the radiologically isolated syndrome, developing primary prevention strategies is an important next challenge.
Amy W. Laitinen, Ceren Tozlu, Tina Roostaei, Fatoumata Diallo, Kaho Onomichi, Jiyeon Son, Zongqi Xia, Philip L. De Jager   +7 more
wiley   +1 more source

Wind power energy generation

, 2012
This report examines the wind power systems, with a particular focus on wind turbine systems. It begins with a brief background with regards to wind power generation systems. The two types of wind turbines, horizontal axis wind turbines (HAWT) and vertical axis wind turbines (VAWT) are compared.
openaire   +1 more source

Wind-powered generator. Final report [PDF]

, 1983
Completion of a wind energy conversion system for a private home is reported. The system included three blades constructed of an aluminum center with marine plywood sandwiched between the aluminum center and the fiberglass outer covering. The wind turbine drives a 1800 rpm generator by a chain drive mechanism. Battery storage is included. (LEW)
openaire   +1 more source