Update README.md

README.md

@@ -14,9 +14,8 @@ This model applies Transformer architecture to predict energy consumption over a
 **Model Type:** Transformer  
 **Data Period:** 2021-2023  
 **Variables Used:**
-- `Lastgang`: Energy consumption data
-- Weather variables
-- Moving average and first difference of `Lastgang`
+1. Transformer with Energy consumption data and weather data
+2. Transformer with Energy consumption data and two additional variables: 'Lastgang_Moving_Average' and 'Lastgang_First_Difference'
 
 ## Features
 The model uses a sequence length of 192 (48 hours) to create input sequences for training and testing. Positional encodings are added to the sequences to provide temporal information to the Transformer model.