Identification and Integration of suitable AI-based control and optimization techniques for grid-level-dependent control of charging processes in the EM4Q system• Implement electricity consumption forecasting using LSTM neural networks using hourly-level historical time series data and forecasting the minute-level load consumption.• Classification of time series data to weekdays and weekends.• Add new weekly live data to the forecast model using ensemble model.

AI for User Service.• Language classification user tickets to German and English.(NLP) • Multi-Class classification of user tickets using Natural Language Processing (NLP)• Gensim, NLTK, TensorFlow-Keras and Scikit-Learn• Dimensionality reduction of data using t-SNE for visulaisation