Modeling Baseline Energy Using Artificial Neural Network: A Small Dataset Approach
| Autor: | Nofri Yenita Dahlan, Wan Nazirah Wan Md Adnan, Ismail Musirin |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Artificial Neural Network
Control and Optimization Computer Networks and Communications 0208 environmental biotechnology 02 engineering and technology Cross-validation Set (abstract data type) Correlation Resampling 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Small dataset Mathematics Artificial neural network Energy consumption Bootstrap 020801 environmental engineering Data set Hardware and Architecture Baseline Energy Model Signal Processing 020201 artificial intelligence & image processing Cross Validation Algorithm Energy (signal processing) Information Systems |
| Popis: | In this work, baseline energy model development using Artificial Neural Network (ANN) with resampling techniques; Cross Validation (CV) and Bootstrap (BS) are presented. Resampling techniques are used to examine the ability of the ANN model to deal with a small dataset. Working days, class days and Cooling Degree Days (CDD) are used as ANN input meanwhile the ANN output is monthly electricity consumption. The coefficient of correlation (R) is used as performance function to evaluate the model accuracy. For this analysis, R is calculated for the entire data set (R_all) and separately for training set (R_train), validation set (R_valid) dan testing set (R_test). The closer R to 1, the higher similarities between targeted and predicted output. The total of two different models with several number of neurons are developed and compared. It can be concluded that all models are capable to train the network. Artificial Neural Network with Bootstrap Cross Validation technique (ANN-BSCV) outperforms Artificial Neural Network with Cross Validation technique (ANN-CV). The 3-6-1 ANN-BSCV, with R_train = 0.95668, R_valid = 0.97553, R_test = 0.85726 and R_all = 0.94079 is selected as the baseline energy model to predict energy consumption for Option C IPMVP. |
| Databáze: | OpenAIRE |
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