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Pooneh Famili

and 3 more

Table of Content 1. Introduction                                                                                                                                2. Literature Review                                                                                                                        3. Data                                                                                                                                              4. Methodologies                                                                                                                           4.1 Prediction                                                                                                                             4.1.1 Random Forest                                                                                                            4.1.1.1 Random Forest Regression                                                                               4.1.1.2 Random Forest Feature Importance                                                                  4.1.2 K-nearest Neighbors Regression                                                                                4.1.3 Support Vector Machine                                                                                              4.1.3.1 Support Vector Machine Regression                                                               4.1.3.2 Support Vector Machine Feature Selection                                                       4.2 Clustering                                                                                                                            4.2.1 K-means Clustering                                                                                               5. Results                                                                                                                                         5.1 Random Forest                                                                                                                     5.1.1 Random Forest Regression                                                                                        5.1.2 Random Forest Feature Importance                                                                        5.2 K-nearest Neighbors Regression                                                                                         5.3 Support Vector Machine                                                                                                    5.3.1 Support Vector Machine Regression                                                                        5.3.2 Support Vector Machine Feature Selection                                                              5.4 K-means Clustering                                                                                                            5.4.1 Energy Consumption                                                                                               5.4.2 Yearly Trends in Energy Consumption (2012 - 2015)                                              6. Discussion                                                                                                                                 6.1 Conclusions                                                                                                                        6.2 Limitations and Future Work                                                                                              7. Reference