Impact of weather inputs on heating plant - Agglomeration modeling

Abstract

This article describes performance of artificial neural network (ANN) oil modeling interface between a heating plant and an agglomeration. ANN perform one step ahead prediction of water temperature returned from agglomeration based on input water temperature, flow and atmospheric temperature in past 24 hours. Usage of ANN In two factual heating plant in Komorany and Detmarovice, Czech Republic. Main concern of the article is to explore possibility Of tuning ANN accuracy by additional Inputs for humidity and wind speed.