Multi-Model Prediction for Demand Forecast in Water Distribution Networks

By Lopez Farias Rodrigo   Puig Vicenç   Rodriguez Rangel Hector   Flores Juan J.  

Energies, Vol. 11, Iss. 3, 2018-03 ,pp. : 660-660

MDPI

Access to resources Recommend Favorite

A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output

By Dolara Alberto   Grimaccia Francesco   Leva Sonia   Mussetta Marco   Ogliari Emanuele  

Energies, Vol. 8, Iss. 2, 2015-02 ,pp. : 1138-1153

MDPI

Access to resources Recommend Favorite

Experimental Analysis of the Input Variables’ Relevance to Forecast Next Day’s Aggregated Electric Demand Using Neural Networks

By Hernández Luis   Baladrón Carlos   Aguiar Javier M.   Calavia Lorena   Carro Belén   Sánchez-Esguevillas Antonio   García Pablo   Lloret Jaime  

Energies, Vol. 6, Iss. 6, 2013-06 ,pp. : 2927-2948

MDPI

Access to resources Recommend Favorite

An Evaluation of Investment in a PV Power Generation Project in the Gobi Desert Using a Real Options Model

By Li Yiqing   Yang Weiguo   Tian Lixin   Yang Jie  

Energies, Vol. 11, Iss. 1, 2018-01 ,pp. : 257-257

MDPI

Access to resources Recommend Favorite

Modeling of Turbine Cycles Using a Neuro-Fuzzy Based Approach to Predict Turbine-Generator Output for Nuclear Power Plants

By Chan Yea-Kuang   Gu Jyh-Cherng  

Energies, Vol. 5, Iss. 1, 2012-01 ,pp. : 101-118

MDPI

Access to resources Recommend Favorite