Design of a distributed problem-solving system for short-term load forecasting

Abstract

Based on the features of both distributed artificial intelligence and load forecasting techniques, a distributed problem-solving system for short-term load forecasting is proposed. Such a distributed paradigm is a multi-agent system, each processing agent of which can compute autonomously and cooperate with other agents to reason an accurate and satisfactory solution for load forecasting. The designed load forecasting system solves problems using three basic moduli: blackboard module, knowledge sources, and control mechanism. In addition, to achieve a high degree of accuracy in load forecasting, the techniques are embedded in the domain knowledge source. The system was implemented by an expert system and tested. It was found that the developed distributed system is a valuable tool to system operators for short-term load forecasting. >