ОЦІНКА ЕФЕКТИВНОСТІ МОДЕЛІ МАШИННОГО НАВЧАННЯ ДЛЯ ПРОГНОЗУВАННЯ СПОЖИВАННЯ ЕЛЕКТРОЕНЕРГІЇ ПРИ КОНВЕРТАЦІЇ У МОБІЛЬНИЙ ФОРМАТ CORE ML

This work is devoted to assessing the efficiency of a machine learning model for predicting the level of electricity consumption after the model conversion from a desktop model to a model for mobile devices. The original Keras LSTM model is converted into a CoreML model using Coremltools for running on iOS mobile devices. The converted model is evaluated using a prototype iOS application which predicts and visualises energy consumption data.