Results 311 to 320 of about 3,612,533 (358)

Dynamics of the Wind Power Plants at Small Wind Speeds

2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2020
In this paper, the operation of the wind power plants at small values of the wind speed is analyzed. The values of the wind turbine’s delivered power are determined based on the experimental data from a wind farm located in Galbiori – Dobrogea, in order to observe, to what extent, its operation is in the optimum area from the point of view of the ...
Emilia Dobrin, Mihaela-Codruta Ancuti, Sorin Musuroi, Ciprian Sorandaru, Razvan Ancuti, Meda Alexandra Lazar   +5 more
openaire   +1 more source

Spatio-Temporal Graph Deep Neural Network for Short-Term Wind Speed Forecasting

IEEE Transactions on Sustainable Energy, 2019
Wind speed forecasting is still a challenge due to the stochastic and highly varying characteristics of wind. In this paper, a graph deep learning model is proposed to learn the powerful spatio-temporal features from the wind speed and wind direction ...
Mahdi Khodayar, Jianhui Wang
semanticscholar   +1 more source

A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting

, 2020
Wind speed forecasting is a promising solution to improve the efficiency of energy utilization. In this study, a novel hybrid wind speed forecasting model is proposed. The whole modeling process of the proposed model consists of three steps.
Hui Liu, Chengqing Yu, Haiping Wu, Zhu Duan, Guangxi Yan   +4 more
semanticscholar   +1 more source

Adaptive hybrid intelligent MPPT controller to approximate effectual wind speed and optimal rotor speed of variable speed wind turbine.

ISA transactions, 2020
Operating wind power generation system at optimal power point is essential which is achieved by employing a Maximum Power Point Tracking (MPPT) control strategy. This literature focuses on developing a novel particle swarm optimization algorithm enhanced
R. Sitharthan, M. Karthikeyan, D. S. sundar, S. Rajasekaran   +3 more
semanticscholar   +1 more source

A novel hybrid system based on multi-objective optimization for wind speed forecasting

, 2020
Wind power has demonstrated high-efficiency utilization in electricity system, accordingly, accurate and stable forecasting of wind speed is of vital significance in power grid security management and market economics.
Chunying Wu, Jianzhou Wang, Xuejun Chen, Pei Du, Wendong Yang   +4 more
semanticscholar   +1 more source

A novel deep learning ensemble model with data denoising for short-term wind speed forecasting

, 2020
Wind speed forecasting plays a pivotal role in the security and economy of the power system operation. However, accurate prediction on the wind speed value is still quite challenging due to three features of wind speed: randomness, fluctuation and ...
Zhiyun Peng, Sui Peng, Lidan Fu, Binchun Lu, Junjie Tang, Ke Wang, Wenyuan Li   +6 more
semanticscholar   +1 more source

Characterization of Wind Meandering in Low-Wind-Speed Conditions

Boundary-Layer Meteorology, 2016
Investigation of low-wind cases observed during the Urban Turbulent Project campaign (Torino, Italy) and at the Santa Maria meteorological station (Santa Maria, Brazil) provides insight into the wind-meandering phenomenon, i.e. large, non-turbulent oscillations of horizontal wind speed and temperature. Meandering and non-meandering cases are identified
Mortarini, Luca, Stefanello, Michel, Degrazia, Gervasio, Roberti, Debora, Trini Castelli, Silvia, Anfossi, Domenico   +11 more
openaire   +3 more sources

Galloping triboelectric nanogenerator for energy harvesting under low wind speed

, 2020
Energy harvesting technology of converting wind energy into available electricity is of great significance. Yet efficiently extracting wind energy at low wind speed still needs to be improved.
Lanbin Zhang, B. Meng, Yang Xia, Zhaoming Deng, H. Dai, P. Hagedorn, Zhengchun Peng, Lin Wang   +7 more
semanticscholar   +1 more source

A review of wind speed and wind power forecasting with deep neural networks

Applied Energy, 2021
Yun Wang, Runmin Zou, Fang Liu, Lingjun Zhang, Qianyi Liu   +4 more
semanticscholar   +1 more source

Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction

, 2020
As wind power accounts for an increasing proportion of the electricity market, the wind speed prediction plays a vital role in the stable operation of the power grid.
Zherui Ma, Hongwei Chen, Jiangjiang Wang, Xin Yang, Rujing Yan, Jiandong Jia, Wenliang Xu   +6 more
semanticscholar   +1 more source