Results 231 to 240 of about 1,752,983 (309)

A robust multi-location evaluation of a machine learning framework for wind power forecasting. [PDF]

PLoS One
Ali U, Sufyan M, Ali S, Ahmad M, Rehman Khan SU, Raza N, Sultana J, Habib MA.   +7 more
europepmc   +1 more source

Domain knowledge embedded anti-disturbance autonomous navigation for marine vehicles. [PDF]

Commun Eng
Zhao Y, Ma Y, Zhu G, Hu S, Wang W, Yan X.   +5 more
europepmc   +1 more source

Minimizing losses and maximizing efficiency in wind power systems: advanced optimization approaches. [PDF]

Sci Rep
Hossain S, Avital EJ, Venkatesan N.
europepmc   +1 more source

A strengthened and southward-shifted westerly jet mitigates warming-induced drying across Asian drylands. [PDF]

Sci Adv
Jiang J, Zhou T.
europepmc   +1 more source

Modeling and evaluation of BVOCs-mediated plant-to-plant stress signaling: a molecular communication perspective. [PDF]

Front Plant Sci
Sun Y, Zhang H, Zhang P, Zhou P, Lu P.
europepmc   +1 more source

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Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

, 2021
Wind speed is the key factor of wind power generation. With the increase of the proportion of wind power generation in total power generation, the accurate prediction of wind speeds plays an important role in the stable operations of power grids. However,
Ming-de Liu, Lin Ding, Yulong Bai
semanticscholar   +1 more source

Wind energy for sustainable development: Driving factors and future outlook

, 2021
Renewable energy is one of the fastest growing segments of energy consumption and wind energy is one of the most widely used sources of renewable energy.
Perry Sadorsky
semanticscholar   +1 more source

Review of the current status, technology and future trends of offshore wind farms

, 2020
The present paper provides an overview of the current state and future trends of the offshore wind farms worldwide along with the technological challenges, especially the wind farm layout and the main components.
H. Díaz, Carlos Soares
semanticscholar   +1 more source

Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

Journal of Cleaner Production, 2020
It is hard to predict wind power with high-precision due to its non-stationary and stochastic nature. The wind power has developed rapidly around the world as a promising renewable energy industry.
Ling-ling Li, Xue Zhao, M. Tseng, R. Tan
semanticscholar   +1 more source

A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings

, 2020
Large-scale wind turbine bearings including main bearings, gearbox bearings, generator bearings, blade bearings and yaw bearings, are critical components for wind turbines to convert kinetic wind energy into electrical energy.
Zepeng Liu, Long Zhang
semanticscholar   +1 more source