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

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

(2021) Anqi Xie et al.   Atmosphere

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

(2021) Yun Wang et al.   APPLIED ENERGY

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

(2020) Tanveer Ahmad et al.   Sustainable Cities and Society

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

(2019) Amir Mosavi et al.   Energies

A survey of artificial neural network in wind energy systems

(2018) Alberto Pliego Marugán et al.   APPLIED ENERGY

Ultra-Short-Term Wind-Power Forecasting Based on the Weighted Random Forest Optimized by the Niche Immune Lion Algorithm

(2018) Dongxiao Niu et al.   Energies

Short-term power output forecasting of hourly operation in power plant based on climate factors and effects of wind direction and wind speed

(2018) Mojtaba Dadkhah et al.   ENERGY

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

(2018) M.A. Ponce-Jara et al.   ENERGY POLICY

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

(2018) Gaiping Sun et al.   RENEWABLE ENERGY

Short-term wind power prediction based on data mining technology and improved support vector machine method: A case study in Northwest China

(2018) Cunbin Li et al.   JOURNAL OF CLEANER PRODUCTION

Machine learning methods for wind turbine condition monitoring: A review

(2018) Adrian Stetco et al.   RENEWABLE ENERGY

Different Models for Forecasting Wind Power Generation: Case Study

(2017) David Barbosa de Alencar et al.   Energies

Wind power prediction using hybrid autoregressive fractionally integrated moving average and least square support vector machine

(2017) Xiaohui Yuan et al.   ENERGY

Coupled on-site measurement/CFD based approach for high-resolution wind resource assessment over complex terrains

(2016) B.W. Yan et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2016) Younes Noorollahi et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2016) Inci Okumus et al.   ENERGY CONVERSION AND MANAGEMENT

Machine learning ensembles for wind power prediction

(2016) Justin Heinermann et al.   RENEWABLE ENERGY

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

(2015) Erasmo Cadenas et al.   NEURAL COMPUTING & APPLICATIONS

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

(2015) P. Ramasamy et al.   RENEWABLE ENERGY

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

(2015) Osamah Basheer Shukur et al.   RENEWABLE ENERGY

Current status and future advances for wind speed and power forecasting

(2014) Jaesung Jung et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Wind resource modelling in complex terrain using different mesoscale–microscale coupling techniques

(2013) D. Carvalho et al.   APPLIED ENERGY

Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output

(2012) Federico Cassola et al.   APPLIED ENERGY

Data mining and wind power prediction: A literature review

(2012) Ilhami Colak et al.   RENEWABLE ENERGY

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

(2011) Kostas Philippopoulos et al.   RENEWABLE ENERGY

Current methods and advances in forecasting of wind power generation

(2011) Aoife M. Foley et al.   RENEWABLE ENERGY

Wind forecasts for wind power generation using the Eta model

(2009) Lazar Lazić et al.   RENEWABLE ENERGY

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

(2007) M. Beccali et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS