Description: I am currently engaged in a project that focuses on the intricate task of predicting heat demand within district heating networks. Leveraging historical data and incorporating various external factors, I aim to develop a robust forecasting system that will help optimize the performance of these networks. One of the primary objectives of this project is to harness the power of data to improve the efficiency of district heating networks. By thoroughly analyzing and visualizing heat consumption data, I intend to identify any existing inefficiencies in the network and pinpoint areas where enhancements can be made. Through the implementation of advanced forecasting models and data-driven techniques, I aim to provide valuable insights into future heat demand patterns. This information will not only assist in optimizing the allocation of resources but also contribute to the overall sustainability of district heating systems.
Jul 01, 2023 - Jul 31, 2023