Comparison between the short-term observed and long-term estimated wind power density using artificial neural networks. A case study

Wind Power ◽

Power Density ◽

Short Term ◽

Wind Power Density ◽

Very short-term wind power density forecasting through artificial neural networks for microgrid control

Renewable Energy ◽

10.1016/j.renene.2019.07.067 ◽

2020 ◽

Vol 145 ◽

pp. 1517-1527 ◽

Cited By ~ 9

Author(s):

Fermín Rodríguez ◽

Ane M. Florez-Tapia ◽

Luis Fontán ◽

Ainhoa Galarza

Keyword(s):

Neural Networks ◽

Wind Power ◽

Power Density ◽

Short Term ◽

Wind Power Density ◽

Density Forecasting ◽

Artificial Neural ◽

Microgrid Control

2017 4th International Conference on Information Science and Control Engineering (ICISCE) ◽

Short-Term Wind Power Prediction Based on Principal Component Analysis and Elman Artificial Neural Networks

10.1109/icisce.2017.146 ◽

2017 ◽

Cited By ~ 1

Author(s):

Shaung Hu ◽

Ke-Jun Li

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Wind Power ◽

Principal Component ◽

Component Analysis ◽

Power Prediction ◽

Short Term ◽

Wind Power Prediction ◽

Randomized feed-forward artificial neural networks in estimating short-term power load of a small house: A case study

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) ◽

10.1109/idap.2017.8090344 ◽

2017 ◽

Author(s):

Omer Faruk Ertugrul ◽

Ramazan Tekin ◽

Yilmaz Kaya

Keyword(s):

Neural Networks ◽

Short Term ◽

Feed Forward ◽

Power Load ◽

Small House ◽

Proceedings of the 1st International Conference of Computer Science and Renewable Energies ◽

Artificial Neural Networks for Short-term Wind Power Estimation

10.5220/0009776400210025 ◽

2018 ◽

Author(s):

Chaimae Zedak ◽

Abdelaziz Belfqih ◽

Faissal El Mariami ◽

Jamal Boukherouaa ◽

Abdelmajid Berdai ◽

...

Keyword(s):

Neural Networks ◽

Wind Power ◽

Power Estimation ◽

Short Term ◽

Short-Term and Long-Term Forecasting for the 3D Point Position Changing by Using Artificial Neural Networks

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi7030086 ◽

2018 ◽

Vol 7 (3) ◽

pp. 86

Author(s):

Eleni-Georgia Alevizakou ◽

George Siolas ◽

George Pantazis

Keyword(s):

Neural Networks ◽

Short Term ◽

Point Position ◽

Artificial Neural ◽

Long Term Forecasting

Investigating short-term dynamics and long-term trends of SO4 in the runoff of a forested catchment using artificial neural networks

Journal of Hydrology ◽

10.1016/s0022-1694(00)00399-1 ◽

2001 ◽

Vol 243 (1-2) ◽

pp. 31-42 ◽

Cited By ~ 21

Author(s):

G Lischeid

Keyword(s):

Neural Networks ◽

Short Term ◽

Forested Catchment ◽

Long Term Trends ◽

Short-term electricity consumption forecast with artificial neural networks — A case study of office buildings

2017 IEEE Manchester PowerTech ◽

10.1109/ptc.2017.7980874 ◽

2017 ◽

Cited By ~ 1

Author(s):

Evangelia Xypolytou ◽

Marcus Meisel ◽

Thilo Sauter

Keyword(s):

Neural Networks ◽

Electricity Consumption ◽

Office Buildings ◽

Short Term ◽

Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) ◽

Wind power estimation algorithm using artificial neural networks case study: Ereğli

10.1109/ecai.2014.7090183 ◽

2014 ◽

Author(s):

Nurettin Cetinkaya ◽

Hamza Yapici

Keyword(s):

Neural Networks ◽

Wind Power ◽

Estimation Algorithm ◽

Power Estimation ◽

Determination of the Representative Time Horizons for Short-term Wind Power Prediction by Using Artificial Neural Networks

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2011.561274 ◽

2014 ◽

Vol 36 (16) ◽

pp. 1800-1809 ◽

Cited By ~ 4

Author(s):

E. İzgi ◽

A. Öztopal ◽

B. Yerli ◽

M. K. Kaymak ◽

A. D. Şahin

Keyword(s):

Neural Networks ◽

Wind Power ◽

Power Prediction ◽

Short Term ◽

Time Horizons ◽

Wind Power Prediction ◽

Lecture Notes in Electrical Engineering - Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems ◽

Prediction of Short-Term and Long-Term Hourly Global Horizontal Solar Irradiation Using Artificial Neural Networks Techniques in Fez City, Morocco

10.1007/978-981-15-6259-4_71 ◽

2020 ◽

pp. 683-690

Author(s):

Zineb Bounoua ◽

Abdellah Mechaqrane

Keyword(s):

Neural Networks ◽

Solar Irradiation ◽

Short Term ◽