Residential load forecasting using machine learning techniques : a comparative analysis
autor                    
                    
                
vastutusandmed                    
                    
Noman Shabbir
                            
                    
ilmumiskoht                    
                    
Tallinn
                            
                    
kirjastus/väljaandja                    
                    
                
ilmumisaasta                    
                    
                
leheküljed                    
                    
p. 73-74 : ill
                            
                    
konverentsi nimetus, aeg                    
                    
20th International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III", September 8-10, 2021
                            
                    
konverentsi toimumispaik                    
                    
Tallinn, Estonia
                            
                    
ISBN                    
                    
978-9949-83-739-7
                            
                    
märkused                    
                    
Bibliogr.: 5 ref
                            
                    
teaduspublikatsioon                    
                    
teaduspublikatsioon
                            
                    
klassifikaator                    
                    
3.2
                            
                    
TTÜ struktuuriüksus                    
                    
                
keel                    
                    
inglise
                            
                    
                            Shabbir, N. Residential load forecasting using machine learning techniques : a comparative analysis // 20th International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III" : Tallinn, Estonia, September 8-10, 2021. Tallinn : Tallinn University of Technology, 2021. p. 73-74 : ill.