Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

By Zheng Huiting   Yuan Jiabin   Chen Long  

Energies, Vol. 10, Iss. 8, 2017-08 ,pp. : 1168-1168

MDPI

Access to resources Recommend Favorite

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

By İzgi E.   Öztopal A.   Yerli B.   Kaymak M. K.   Şahin A. D.  

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 36, Iss. 16, 2014-08 ,pp. : 1800-1809

Taylor & Francis Ltd

Access to resources Recommend Favorite

Forecasting electric energy consumption using neural networks

By Nizami S.S.A.K.J.   Al-Garni A.Z.  

Energy Policy, Vol. 23, Iss. 12, 1995-12 ,pp. : 1097-1104

Elsevier

Access to resources Recommend Favorite

Forecasting of Greenhouse Gas Emissions in Serbia Using Artificial Neural Networks

By Radojević D.  

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 35, Iss. 8, 2013-04 ,pp. : 733-740

Taylor & Francis Ltd

Access to resources Recommend Favorite

Artificial intelligence in short term electric load forecasting: a state-of-the-art survey for the researcher

By Metaxiotis K.   Kagiannas A.   Askounis D.   Psarras J.  

Energy Conversion and Management, Vol. 44, Iss. 9, 2003-06 ,pp. : 1525-1534

Elsevier

Access to resources Recommend Favorite