Results 21 to 30 of about 9,782,671 (248)

Integrated Wind Farm Power Curve and Power Curve Distribution Function Considering the Wake Effect and Terrain Gradient

Energies, 2019
This work presents a computational method for the simulation of wind speeds and for the calculation of the statistical distributions of wind farm (WF) power curves, where the wake effects and terrain features are taken into consideration.
Siyu Tao, Qingshan Xu, Andrés Feijóo, Stefanie Kuenzel, Neeraj Bokde   +4 more
doaj   +1 more source

Optimization Method of Wind Turbine Locations in Complex Terrain Areas Using a Combination of Simulation and Analytical Models

IEEE Access
Once an area has been identified for a wind farm, the annual energy production of the farm is the most important quantity to obtain high exploitation efficiency.
Dinh Van Thin, Le Quang Sang, Nguyen Huu Duc   +2 more
doaj   +1 more source

Output Power Smoothing Control for a Wind Farm Based on the Allocation of Wind Turbines

Applied Sciences, 2018
This paper presents a new output power smoothing control strategy for a wind farm based on the allocation of wind turbines. The wind turbines in the wind farm are divided into control wind turbines (CWT) and power wind turbines (PWT), separately.
Ying Zhu, Haixiang Zang, Lexiang Cheng, Shengyu Gao   +3 more
doaj   +1 more source

Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

Molecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

Maximizing wind farm production through pitch control using graph neural networks and hybrid learning methods

IET Renewable Power Generation
This article presents a novel methodology to maximize wind farm power generation by integrating graph neural networks (GNN), supervised learning, and reinforcement learning techniques.
Yuchong Huo, Chang Xu, Qun Li, Qiang Li, Minghui Yin   +4 more
doaj   +1 more source

Optimal Sizing of a Hybrid Wind-Photovoltaic-Battery Plant to Mitigate Output Fluctuations in a Grid-Connected System

Energies, 2020
A novel optimization strategy is proposed to achieve a reliable hybrid plant of wind, solar, and battery (HWSPS). This strategy’s purpose is to reduce the power losses in a wind farm and at the same time reduce the fluctuations in the output of HWSPS ...
Abdullah Al Shereiqi, Amer Al-Hinai, Mohammed Albadi, Rashid Al-Abri   +3 more
doaj   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

First treasurer's book Wake Forest College [1833-1834] with Transcript

, 2022
First treasurer's book Wake Forest College [1833 ...

core   +1 more source

Detailed Design of Lattice Tower for Low Speed Wind Turbines

IEEE Access
This study presents the design of a lattice tower for wind turbines with a downwind rotor configuration, intended for operation in low-intensity wind conditions (Class III-B, according to IEC 61400-1).
James Rojas Waterhouse, Carlos Henrique Gasparetti, Kauan Pires Quevedo, Guilherme Beppu de Souza   +3 more
doaj   +1 more source

Verification of Prediction Method Based on Machine Learning under Wake Effect Using Real-Time Digital Simulator

Energies, 2022
With the increase in the penetration rate of renewable energy sources, a machine-learning-based forecasting system has been introduced to the grid sector to improve the participation rate in the electricity market and reduce energy losses.
Rae-Jin Park, Jeong-Hwan Kim, Byungchan Yoo, Minhan Yoon, Seungmin Jung   +4 more
doaj   +1 more source