Application of neural networks to power systems

ANNs (artificial neural networks) have attracted considerable attention as candidates for computational systems due to the variety of advantages they offer over the conventional computational systems. Among these advantages, the ability to memorise, rapidity and robustness are the most profound and interesting properties which have attracted attention in many fields. The paper critically reviews the ANN related publications involving typical power system problems during the 1990s. A brief overview of the ANN theory, different models and their applications is given.