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A hybrid ARIMA-DENFIS method for wind speed forecasting

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013
This paper proposes a hybrid autoregressive integrated moving average - dynamic evolving neural-fuzzy inference system (ARIMA-DENFIS) model for wind speed forecasting. The theory of ARIMA, DENFIS and the hybrid of the two are discussed. The proposed model is evaluated with NDBC wind speed data and the results show that the proposed hybrid ARIMA-DENFIS ...
Ren Ye   +3 more
openaire   +1 more source

Time Series Analysis and Forecasting of Wind Speed Data

2019 IEEE Industry Applications Society Annual Meeting, 2019
This paper discusses the problem of predicting wind speed using the statistical model based on autoregressive integrated moving average (ARIMA). Historical wind speed data, representing the Chester region of Nova Scotia, Canada, from 2012 to 2017, was used to operate this model.
Meftah Elsaraiti   +2 more
openaire   +1 more source

Wind speed forecasting using spatio-temporal indicators

2012
From small farms to electricity markets the interest and importance of wind power production is continuously increasing. This interest is mainly caused by the fact that wind is a continuous resource of clean energy. To take full advantage of the potential of wind power production it is crucial to have tools that accurately forecast the expected wind ...
Orlando Ohashi, Luís Torgo
openaire   +1 more source

Statistical Analysis and Forecasting of Wind Speed

2022 4th International Conference on Energy, Power and Environment (ICEPE), 2022
Sakshi Shukla   +3 more
openaire   +1 more source

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

Applied Energy, 2021
Yun Wang, Runmin Zou, Lingjun Zhang
exaly  

Impact of the accuracy of NWP wind speed forecasts on wind power forecasting

8th Renewable Power Generation Conference (RPG 2019), 2019
null Yimei Wang   +4 more
openaire   +1 more source

Current status and future advances for wind speed and power forecasting

Renewable and Sustainable Energy Reviews, 2014
Jaesung Jung, Robert P Broadwater
exaly  

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