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Short-term wind speed forecasting by an adaptive network-based fuzzy inference system (ANFIS): an attempt towards an ensemble forecasting method

(1) Moslem Yousefi ((SCOPUS ID: 53985756300,Universiti Tenaga Nasional (UNITEN)), Malaysia) (2) Danial Hooshyar (Department of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia) (3) Amir Remezani (Department of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia) (4) Khairul Salleh Mohamed Sahari (Center for Advanced Mechatronics and Robotics Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, 43000, Selangor, Malaysia) (5) Weria Khaksar (Center for Advanced Mechatronics and Robotics Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, 43000, Selangor, Malaysia) (6) Firas B. Ismail Alnaimi (Center for Advanced Mechatronics and Robotics Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, 43000, Selangor, Malaysia)

Accurate Wind speed forecasting has a vital role in efficient utilization of wind farms. Wind forecasting could be performed for long or short time horizons. Given the volatile nature of wind and its dependent on many geographical parameters, it is diffic... see more

Short-term wind speed forecasting | an adaptive neuro-fuzzy inference system | artificial neural network

International Journal of Advances in Intelligent Informatics , 2015

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Short-term wind speed forecasting by an adaptive network-based fuzzy inference system (ANFIS): an attempt towards an ensemble forecasting method

Short-term wind speed forecasting | an adaptive neuro-fuzzy inference system | artificial neural network

IJAIN (International Journal of Advances in Intelligent Informatics) , 2015

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A Novel System for Wind Speed Forecasting Based on Multi-Objective Optimization and Echo State Network

Given the rapid development and wide application of wind energy, reliable and stable wind speed forecasting is of great significance in keeping the stability and security of wind power systems. However, accurate wind speed forecasting remains a great chal... see more

Sustainability , 2019

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Exogenous Measurements from Basic Meteorological Stations for Wind Speed Forecasting

José Carlos Palomares-Salas, Agustín Agüera-Pérez, Juan José González de la Rosa, José María Sierra-Fernández and Antonio Moreno-Muñoz

This research presents a comparative analysis of wind speed forecasting methods applied to perform 1 h-ahead forecasting. The main significant development has been the introduction of low-quality measurements as exogenous information to improve these pred... see more

wind speed prediction | time series forecasting | artificial neural network | on-site measurement | exogenous information

Energies , 2013

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A Low-Carbon Dispatch Model in a Wind Power Integrated System Considering Wind Speed Forecasting and Energy-Environmental Efficiency

Daojun Chen, Qingwu Gong, Bichang Zou, Xiaohui Zhang and Jian Zhao

This paper introduces the “Energy-Environmental Efficiency” concept of building a low-carbon dispatch model of wind-incorporated power systems from the perspective of environmental protection and low-carbon dispatch promotion based on the existing economi... see more

wind power | wind speed forecasting | low-carbon dispatch model | PSO-SA | energy-environmental efficiency

Energies , 2012

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Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation

Accurate predictions of wind speed and wind energy are essential in renewable energy planning and management. This study was carried out to test the accuracy of two different neuro fuzzy techniques (neuro fuzzy system with grid partition (NF-GP) and neuro... see more

Energies , 2019

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Regional Forecasting of Wind Speeds during Typhoon Landfall in Taiwan: A Case Study of Westward-Moving Typhoons

Chih-Chiang Wei, Po-Chun Peng, Cheng-Han Tsai and Chien-Lin Huang

Taiwan is located on a route where typhoons often strike. Each year, the strong winds accompanying typhoons are a substantial threat and cause significant damage. However, because the terrains of high mountains in Taiwan vary greatly, when a typhoon passe... see more

typhoon | wind speed | neural networks | prediction

Atmosphere , 2018

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Hour-Ahead Wind Speed and Power Forecasting Using Empirical Mode Decomposition

Ying-Yi Hong, Ti-Hsuan Yu and Ching-Yun Liu

Operation of wind power generation in a large farm is quite challenging in a smart grid owing to uncertain weather conditions. Consequently, operators must accurately forecast wind speed/power in the dispatch center to carry out unit commitment, real powe... see more

wind power | empirical mode decomposition | intrinsic mode function | artificial neural network

Energies , 2013

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Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method

Wen-Yeau Chang

High penetration of wind power in the electricity system provides many challenges to power system operators, mainly due to the unpredictability and variability of wind power generation. Although wind energy may not be dispatched, an accurate forecasting m... see more

Energies , 2013

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