Development and Validation of a Cooling Load Prediction Model
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 2
Abstract
In smart buildings, cooling load prediction is important and essential in the sense of energy efficiency especially in hot countries. Indeed, prediction is required in order to provide the occupant by his consumption and incite him to take right decisions that would potentially decrease his energy demand. In some existing models, prediction is based on a selected reference day. This selection depends on several conditions similarity. Such model needs deep analysis of big past data. Instead of a deep study to well select the reference day; this paper is focusing on a short sampling-rate for predicting the next state. So, this method requires less inputs and less stored data. Prediction results will be more close to the real state. In first phase, an hourly cooling load model is implemented. This model has as input current cooling load, current outside temperature and weather forecast to predict the next hour cooling consumption. To enhance model’s performance and reliability, the sampling period is decreasing to 30 minutes with respect to system dynamic. Lastly, prediction’s accuracy is improved by using previous errors between actual cooling load and prediction results. Simulations are realized in nodes located at a campus showing good adequacy with measurements.
Authors and Affiliations
Abir Khabthani, Leila Châabane
Keywords
Related Articles
- EP ID EP276749
- DOI 10.14569/IJACSA.2018.090223
- Views 91
- Downloads 0
Cancer Classification from DNA Microarray Data using mRMR and Artificial Neural Network
Cancer is the uncontrolled growth of abnormal cells in the body and is a major death cause nowadays. It is notable that cancer treatment is much easier in the initial stage rather than it outbreaks. DNA microarray based...
A New Approach of Trust Relationship Measurement Based on Graph Theory
The certainty trust relationship of network node behavior has been presented based on graph theory, and a measurement method of trusted-degree is proposed. Because of the uncertainty of trust relationship, this paper has...
Conceptual Modeling of a Procurement Process
Procurement refers to a process resulting in delivery of goods or services within a set time period. The process includes aspects of purchasing, specifications to be met, and solicitation notifications as in the case of...
An Early Phase Software Project Risk Assessment Support Method for Emergent Software Organizations
Risk identification and assessment are amongst critical activities in software project management. However, identifying and assessing risks and uncertainties is a challenging process especially for emergent software orga...
Partial Greedy Algorithm to Extract a Minimum Phonetically-and-Prosodically Rich Sentence Set
A phonetically-and-prosodically rich sentence set is so important in collecting a read-speech corpus for developing phoneme-based speech recognition. The sentence set is usually searched from a huge text corpus of millio...