| Title |
The Development of Weather Based Intelligent Demand Controller |
| DOI |
https://doi.org/10.5370/KIEE.2023.72.9.1124 |
| Keywords |
Neural Network; Load Forecasting; Demand Controller; Weather Correlation |
| Abstract |
Direct Load Control(DLC) program is an advanced agreement between a power utility and customers to control some customers’ appliances (e.g., air conditioners and water heaters). It is an incentive-based demand response system in which the utility provides the affected customer with financial incentives. Under the existing DLC program, the utility turn on/off customers’ appliances without considering the customer's inconvenience. that causes a lot of customers are reluctant to participate in the DLC program. In this paper, To solve this problem, the author present weather based intelligent demand controller to analyze correlation between weather condition and customers energy consumption and to predict customers energy consumption. To demonstrate the validity of the proposed demand controller, porto type demand controller are developed and applied to real customer load. |