Knowledge Mining Based on Environmental Simulation Applied to Wind Farm Power Forecasting

Knowledge Mining Based on Environmental Simulation Applied to Wind Farm Power Forecasting

Considering the inherent variability and uncertainty of wind power generation, in this study, a self-organizing map (SOM) combined with rough set theory clustering technique (RST) is proposed to extract the relative knowledge and to choose the most similar history situation and efficient data for wi...

Full description

Bibliographic Details
Main Authors:	Dongxiao Niu, Ling Ji, Qingguo Ma, Wei Li
Format:	Article
Language:	English
Published:	Hindawi Limited 2013-01-01
Series:	Mathematical Problems in Engineering
Online Access:	http://dx.doi.org/10.1155/2013/597562

Similar Items

RBF Neural Network Combined with Knowledge Mining Based on Environment Simulation Applied for Photovoltaic Generation Forecasting
by: Dongxiao Niu, et al.
Published: (2013-11-01)

Wind Farm Power Forecasting
by: Nabiha Haouas, et al.
Published: (2013-01-01)

Photovoltaic Power Prediction Based on Scene Simulation Knowledge Mining and Adaptive Neural Network
by: Dongxiao Niu, et al.
Published: (2013-01-01)

Effective Short-term Forecasting of Wind Farms Power
by: Elżbieta Bogalecka, et al.
Published: (2015-09-01)

Wind power forecasting error-based dispatch method for wind farm cluster
by: Ning Chen, et al.
Published: (2013-01-01)

Short-term Power Forecasting Method and Application of Wind Farm
by: Yang Xiaohu, et al.
Published: (2018-01-01)

Ultra-Short-Term Wind-Power Forecasting Based on the Weighted Random Forest Optimized by the Niche Immune Lion Algorithm
by: Dongxiao Niu, et al.
Published: (2018-04-01)

The Impact of Imperfect Weather Forecasts on Wind Power Forecasting Performance: Evidence from Two Wind Farms in Greece
by: Evangelos Spiliotis, et al.
Published: (2020-04-01)

Forecasting wind power production from a wind farm using the RAMS model
by: L. Tiriolo, et al.
Published: (2015-04-01)

Data Stream Mining Applied to Maximum Wind Forecasting in the Canary Islands
by: Javier J. Sánchez-Medina, et al.
Published: (2019-05-01)

Spatial dispersion of wind speeds and its influence on the forecasting error of wind power in a wind farm
by: Gang Mu, et al.
Published: (2016-01-01)

Wind Speed Forecasting Based on EMD and GRNN Optimized by FOA
by: Dongxiao Niu, et al.
Published: (2017-12-01)

Research on Short-Term Wind Power Forecasting by Data Mining on Historical Wind Resource
by: Bin Tang, et al.
Published: (2020-02-01)

Accurate Short-Term Power Forecasting of Wind Turbines: The Case of Jeju Island’s Wind Farm
by: BeomJun Park, et al.
Published: (2017-06-01)

Using Neural Network Technology in Long Term Wind Power Forecasting in Kinmen Wind Farm
by: Ping-Yuan Lu, et al.
Published: (2014)

Wind Power Short-Term Forecasting Hybrid Model Based on CEEMD-SE Method
by: Keke Wang, et al.
Published: (2019-11-01)

Data Mining-Based Upscaling Approach for Regional Wind Power Forecasting: Regional Statistical Hybrid Wind Power Forecast Technique (RegionalSHWIP)
by: Mehmet Baris Ozkan, et al.
Published: (2019-01-01)

Applying Satellite Data Assimilation to Wind Simulation of Coastal Wind Farms in Guangdong, China
by: Wenqing Xu, et al.
Published: (2020-03-01)

Simulation of Wind-Battery Microgrid Based on Short-Term Wind Power Forecasting
by: Konstantinos N. Genikomsakis, et al.
Published: (2017-11-01)

Probabilistic Forecasting of Wind and Solar Farm Output
by: John Boland, et al.
Published: (2021-08-01)

A Hybrid Deep Learning Model and Comparison for Wind Power Forecasting Considering Temporal-Spatial Feature Extraction
by: Hao Zhen, et al.
Published: (2020-11-01)

THE WIND FORECAST FOR WIND POWER GENERATION
by: ILITCH VITALI GOMES DA SILVA
Published: (2010)

Wind Power Generation Prediction Using Data Mining Technique:The Case of Chang Kung Wind Farm
by: Chia-Yuan Chang, et al.
Published: (2018)

Integrated Machine Learning and Enhanced Statistical Approach-Based Wind Power Forecasting in Australian Tasmania Wind Farm
by: Fang Yao, et al.
Published: (2020-01-01)

Short-Term Wind Power Forecasting at the Wind Farm Scale Using Long-Range Doppler LiDAR
by: Mathieu Pichault, et al.
Published: (2021-05-01)

On the wake effect in wind farm power forecasting: a new data-driven approach
by: Famoso Fabio, et al.
Published: (2020-01-01)

Comparative Analysis of Wind Farm Simulators for Wind Farm Control
by: Kim, M., et al.
Published: (2023)

[en] THE WIND FORECAST FOR WIND POWER GENERATION
by: ILITCH VITALI GOMES DA SILVA
Published: (2011)

A Fuzzy Group Forecasting Model Based on Least Squares Support Vector Machine (LS-SVM) for Short-Term Wind Power
by: Xuebin Zhang, et al.
Published: (2012-09-01)

Weather Research and Forecasting (WRF) Model Simulations of the Impacts of Large Wind Farms on Regional Climate
Published: (2016)

Short-Term Wind Speed Forecasting Based on Information of Neighboring Wind Farms
by: Zhongju Wang, et al.
Published: (2020-01-01)

Calculating reserve power requirements from wind–power forecasts
by: Aoran Xu, et al.
Published: (2019-04-01)

The Study of Offshore Wind Farm Simulation Combining Wind Farm Level Control
by: Uan-Tang Chen, et al.
Published: (2018)

Icing Forecasting for Power Transmission Lines Based on a Wavelet Support Vector Machine Optimized by a Quantum Fireworks Algorithm
by: Tiannan Ma, et al.
Published: (2016-02-01)

Performance Improvement of Artificial Neural Network Model in Short-term Forecasting of Wind Farm Power Output
by: Sergio Velazquez Medina, et al.
Published: (2020-01-01)

An integrated maintenance and power generation forecast by ANN approach based on availability maximization of a wind farm
by: Hajej, Z., et al.
Published: (2022)

Applying Wavelet Filters in Wind Forecasting Methods
by: José A. Domínguez-Navarro, et al.
Published: (2021-05-01)

Multi-dimensional scenario forecast for generation of multiple wind farms
by: Ming Yang, et al.
Published: (2015-01-01)

Optimal power sharing of wind farms for frequency response
by: Ganggang Tu, et al.
Published: (2021-04-01)

Integration of solar and wind power at Lillgrundwind farm. : Wind turbine shadow effect on solar farm atLillgrund wind farm.
by: Al-Mimar, Samer
Published: (2015)

Cannot write session to /tmp/vufind_sessions/sess_iuvd639bkmts0dat7qeof5dp17