An Electrical Energy Consumption Monitoring and Forecasting System
Journal Title: Engineering, Technology & Applied Science Research - Year 2016, Vol 6, Issue 5
Abstract
Electricity consumption is currently an issue of great interest for power companies that need an as much as accurate profile for controlling the installed systems but also for designing future expansions and alterations. Detailed monitoring has proved to be valuable for both power companies and consumers. Further, as smart grid technology is bound to result to increasingly flexible rates, an accurate forecast is bound to prove valuable in the future. In this paper, a monitoring and forecasting system is investigated. The monitoring system was installed in an actual building and the recordings were used to design and evaluate the forecasting system, based on an artificial neural network. Results show that the system can provide detailed monitoring and also an accurate forecast for a building’s consumption.
Authors and Affiliations
J. L. Rojas-Renteria, T. D. Espinoza-Huerta, F. S. Tovar-Pacheco, J. L. Gonzalez-Perez, R. Lozano-Dorantes
Optimization of Emulsion Liquid Membrane for Lead Separation from Aqueous Solutions
This study focuses on evaluating the process parameters and their effects on extraction of lead as well as emulsion breaking. The Signal / Noise ratios have been used to study the performance characteristics. Six paramet...
Modeling a Small Punch Testing Device
A small punch test of a sample in miniature is implemented in order to estimate the ultimate load of CrMoV ductile steel. The objective of this study is to model the ultimate tensile strength and ultimate load indentatio...
The Effect of Displacement Mode of Rigid Retaining Walls on Shearing Bands by Active Earth Pressure
This work treats the physical modeling of failure mechanisms by active earth pressure. This last is developed by retaining wall movement. A lot of research showed that wall displacement has a significant effect on active...
Uterine EMG Signals Spectral Analysis for Pre-Term Birth Prediction
A methodology for prediction of pre-term births is presented in this paper. The methodology is based on the analysis of EHG signals and data mining techniques. Initially, spectral and non-linear characteristics of the EH...
A Numerical Approach for the Determination of Mode I Stress Intensity Factors in PMMA Materials
An evaluation technique of the KI stress intensity factors (SIF) by a numerical investigation using line strain method is presented in this paper. The main purpose of this research is to re-analyze experimental results o...