Electricity-Load-Forecasting-for-Smart-Grids-

The project aims to create a precise machine-learning model to forecast energy demand based on weather patterns, historical consumption patterns, and generation data.

Predicting-Energy-Usage-of-Appliances-in-a-Low-Energy-House-_Data_Science

The paper presents the development of data-driven prediction models for the energy use of appliances in a low-energy house, based on a dataset collected in a real-life scenario that has weather and appliance data