Forecasting of peak electricity demand in Mauritius using the non-homogeneous Gompertz diffusion process

Author:

Badurally Adam N.R.,Elahee M.K.,Dauhoo M.Z.

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference24 articles.

1. A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran;Azadeh;Energy Policy,2008

2. Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption;Azadeh;Applied Mathematics and Computation,2007

3. Badurally Adam, N., Dauhoo, M., Elahee, M., August 2009. Forecasting peak electricity demand in Mauritius using a genetic algorithm approach. In: International Conference On Energy And Environment. Singapore.

4. Badurally Adam, N., Dauhoo, M., Elahee, M., August 2009. On the influence of weather and socio-economic factors on peak electricity demand in Mauritius. In: International Conference On Energy And Environment. Singapore.

5. Genetic algorithm (GA) approaches for the transport energy demand estimation: model development and application;Canyurt;Energy Sources,2006

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