A hybrid artificial neural network-differential dynamic programming approach for short-term hydro scheduling

Publisher： Elsevier

ISSN： 0378-7796

Source： Electric Power Systems Research, Vol.33, Iss.2, 1995-05, pp. : 77-86

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Application of grey linear programming to short-term hydro scheduling

By Liang R.-H.

Electric Power Systems Research, Vol. 41, Iss. 3, 1997-06 ,pp. : 159-165

Elsevier

Access to resources Recommend Favorite

Kohonen neural network and wavelet transform based approach to short-term load forecasting

By Kim C.-i. Yu I.-k. Song Y.H.

Electric Power Systems Research, Vol. 63, Iss. 3, 2002-10 ,pp. : 169-176

Elsevier

Access to resources Recommend Favorite

Fast evolutionary programming techniques for short-term hydrothermal scheduling

By Sinha N. Chakrabarti R. Chattopadhyay P.K.

Electric Power Systems Research, Vol. 66, Iss. 2, 2003-08 ,pp. : 97-103

Elsevier

Access to resources Recommend Favorite

Short-term hydrothermal scheduling through evolutionary programming technique

By Hota P.K. Chakrabarti R. Chattopadhyay P.K.

Electric Power Systems Research, Vol. 52, Iss. 2, 1999-11 ,pp. : 189-196

Elsevier

Access to resources Recommend Favorite

Short-term load forecasting based on artificial neural networks parallel implementation

By Kalaitzakis K. Stavrakakis G.S. Anagnostakis E.M.

Electric Power Systems Research, Vol. 63, Iss. 3, 2002-10 ,pp. : 185-196

Elsevier

Access to resources Recommend Favorite