4.7 Article

Short-term wind speed forecasting over complex terrain using linear regression models and multivariable LSTM and NARX networks in the Andes Mountains, Ecuador

Related references

Note: Only part of the references are listed.
Review Energy & Fuels

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

Yun Wang et al.

Summary: This study comprehensively reviews the various deep learning technologies used in wind speed/wind power forecasting, including data processing, feature extraction, and relationship learning stages. The forecasting performance of popular models is evaluated through testing and comparing on two real-world wind datasets.

APPLIED ENERGY (2021)

Article Environmental Sciences

A Short-Term Wind Speed Forecasting Model Based on a Multi-Variable Long Short-Term Memory Network

Anqi Xie et al.

Summary: This study proposed a method based on a multi-variable long short-term memory network model for short-term wind speed forecasting, which proved to be feasible and superior to other forecasting methods.

ATMOSPHERE (2021)

Article Construction & Building Technology

A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

Tanveer Ahmad et al.

Sustainable Cities and Society (2020)

Article Energy & Fuels

Wind speed forecasting using neural networks

Tyler Blanchard et al.

WIND ENGINEERING (2020)

Review Green & Sustainable Science & Technology

Machine learning methods for wind turbine condition monitoring: A review

Adrian Stetco et al.

RENEWABLE ENERGY (2019)

Article Multidisciplinary Sciences

Short-term wind speed forecasting in Uruguay using computational intelligence

P. J. Zucatelli et al.

HELIYON (2019)

Article Energy & Fuels

A survey of artificial neural network in wind energy systems

Alberto Pliego Marugan et al.

APPLIED ENERGY (2018)

Article Economics

Electricity sector in Ecuador: An overview of the 2007-2017 decade

M. A. Ponce-Jara et al.

ENERGY POLICY (2018)

Article Green & Sustainable Science & Technology

Short-term wind power forecasts by a synthetical similar time series data mining method

Gaiping Sun et al.

RENEWABLE ENERGY (2018)

Article Energy & Fuels

Different Models for Forecasting Wind Power Generation: Case Study

David Barbosa de Alencar et al.

ENERGIES (2017)

Proceedings Paper Green & Sustainable Science & Technology

Wind power resource assessment in complex terrain: Villonaco case-study using computational fluid dynamics analysis

M. Ayala et al.

3RD INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT RESEARCH, ICEER 2016 (2017)

Article Green & Sustainable Science & Technology

An improved neural network-based approach for short-term wind speed and power forecast

G. W. Chang et al.

RENEWABLE ENERGY (2017)

Article Green & Sustainable Science & Technology

Short-term wind power predidion based on spatial model

Lin Ye et al.

RENEWABLE ENERGY (2017)

Article Computer Science, Artificial Intelligence

Wind speed forecasting using the NARX model, case: La Mata, Oaxaca, Mexico

Erasmo Cadenas et al.

NEURAL COMPUTING & APPLICATIONS (2016)

Article Thermodynamics

Using artificial neural networks for temporal and spatial wind speed forecasting in Iran

Younes Noorollahi et al.

ENERGY CONVERSION AND MANAGEMENT (2016)

Review Thermodynamics

Current status of wind energy forecasting and a hybrid method for hourly predictions

Inci Okumus et al.

ENERGY CONVERSION AND MANAGEMENT (2016)

Article Green & Sustainable Science & Technology

Machine learning ensembles for wind power prediction

Justin Heinermann et al.

RENEWABLE ENERGY (2016)

Article Green & Sustainable Science & Technology

Wind speed prediction in the mountainous region of India using an artificial neural network model

P. Ramasamy et al.

RENEWABLE ENERGY (2015)

Article Green & Sustainable Science & Technology

Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA

Osamah Basheer Shukur et al.

RENEWABLE ENERGY (2015)

Review Green & Sustainable Science & Technology

Current status and future advances for wind speed and power forecasting

Jaesung Jung et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)

Review Energy & Fuels

A Review on Neural Network Models for Wind Speed Prediction

K. Gnana Sheela et al.

WIND ENGINEERING (2013)

Article Green & Sustainable Science & Technology

Application of artificial neural networks for the spatial estimation of wind speed in a coastal region with complex topography

Kostas Philippopoulos et al.

RENEWABLE ENERGY (2012)

Review Green & Sustainable Science & Technology

Data mining and wind power prediction: A literature review

Ilhami Colak et al.

RENEWABLE ENERGY (2012)

Review Green & Sustainable Science & Technology

Current methods and advances in forecasting of wind power generation

Aoife M. Foley et al.

RENEWABLE ENERGY (2012)

Article Green & Sustainable Science & Technology

Wind forecasts for wind power generation using the Eta model

Lazar Lazic et al.

RENEWABLE ENERGY (2010)

Review Green & Sustainable Science & Technology

Short-term prediction of household electricity consumption: Assessing weather sensitivity in a Mediterranean area

M. Beccali et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2008)

Article Computer Science, Theory & Methods

NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches

Y Gao et al.

FUZZY SETS AND SYSTEMS (2005)