SYSTEMS AND METHODS FOR REAL-TIME FORECASTING AND PREDICTING OF ELECTRICAL PEAKS AND MANAGING THE ENERGY, HEALTH, RELIABILITY, AND PERFORMANCE OF ELECTRICAL POWER SYSTEMS BASED ON AN ARTIFICIAL ADAPTIVE NEURAL NETWORK

摘要

A system for utilizing a neural network to make real-time predictions about the reliability and performance of a monitored system are disclosed The system includes a data acquisition component, a power analytics server and a client terminal The data acquisition component acquires real-time data output from the electrical system The power analytics server is comprised of a virtual system modeling engine, an analytics engine, an adaptive prediction engine The virtual system modeling engine generates predicted data output for the electrical system The analytics engine monitors real-time data output and predicted data output of the electrical system The adaptive prediction engine can be configured to forecast an aspect of the monitored system using a neural network algorithm The adaptive prediction engine is further configured to process the real-time data output and optimize the neural network algorithm by minimizing a measure of error between real-time data output and an estimated data output.