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Multi-step real-time wind speed prediction based on convolution memory network

期刊: WIND ENGINEERING, ; ()

Multi-step real-time prediction based on the spatial correlation of wind speed is a research hotspot for large-scale wind power grid integration, and ......

Rotor imbalance detection and quantification in wind turbines via vibration analysis

期刊: WIND ENGINEERING, ; ()

Rotor imbalance is a common fault in wind turbines, which may enhance radial loads that induce faults on the main bearing and gearbox. It usually resu......

A new airfoil design method for wind turbine to improve maximum lift of airfoil

期刊: WIND ENGINEERING, ; ()

A new wind turbine airfoil design method is established. This method generates an airfoil by fusing different airfoils. The airfoil designed by this m......

Research on interval multi-objective optimal power flow in AC-DC systems considering wind power fluctuation

期刊: WIND ENGINEERING, ; ()

Aiming at the influence of the uncertainty of power system operating parameters such as wind power fluctuation on AC-DC hybrid system, an interval opt......

Software defect prediction based on weighted extreme learning machine

期刊: MULTIAGENT AND GRID SYSTEMS, 2020; 16 (1)

The uncertainty of developers' activity can lead to engineering problems such as increased software defects during software development. Therefore, ad......

Intelligent recognition of semantic relationships based on antonymy

期刊: MULTIAGENT AND GRID SYSTEMS, 2020; 16 (3)

Since computing semantic similarity tends to simulate the thinking process of humans, semantic dissimilarity must play a part in this process. In this......

A vectorized bimodal distribution based micro differential evolution algorithm (VB-mDE)

期刊: MULTIAGENT AND GRID SYSTEMS, 2020; 16 (3)

Micro differential evolution (mDE) refers to algorithms that evolve with a small population to search for good solutions. Although mDEs are very usefu......

A brief review and challenges of object detection in optical remote sensing imagery

期刊: MULTIAGENT AND GRID SYSTEMS, 2020; 16 (3)

Traditional object detection algorithms and strategies are difficult to meet the requirements of data processing efficiency, performance, speed and in......

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