Journal
ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL
Volume 7, Issue 4, Pages 453-458Publisher
GH ASACHI TECHNICAL UNIV IASI
DOI: 10.30638/eemj.2008.067
Keywords
artificial neural networks; energy efficiency; electricity load prediction; water supply systems
Categories
Ask authors/readers for more resources
The efficient management of electricity consumption is an important tool to approach the basic objectives in the field of energy efficiency and environment protection. The paper describes an artificial neural network (ANN) approach to the problem of electric load profile prediction for a water supply system. The analysis was directed towards two main objectives: to determine the optimum input structure of the ANN with respect to the electric load profiles' history and to determine the best combination of weather data as input variables. Two types of weather parameters were considered (the temperature and the relative humidity) to compute a derivative parameter, namely the heat index.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available