Cooling load forecasting for chiller plants using similar day based wavelet neural networks

@article{Thota2015CoolingLF,
  title={Cooling load forecasting for chiller plants using similar day based wavelet neural networks},
  author={Pavan Kumar Thota and Ashwin P. Dani and Peter B. Luh and Shalabh Gupta},
  journal={2015 International Conference on Complex Systems Engineering (ICCSE)},
  year={2015},
  pages={1-6}
}
Cooling load forecasting is beneficial for chiller plant operation as it can be used for energy efficient scheduling of chiller plant components (such as chillers, cooling towers etc.). This paper presents a method fosimilar day based wavelet neural networksr forecasting next day's hourly cooling load for a chiller plant using the concepts of similar day selection, wavelet decomposition, and neural networks. Cooling load forecast is obtained from similar day's cooling load by decomposing it… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 20 references

Similar Papers

Loading similar papers…