Explainable machine learning for electrification of everything

能源部门是温室气体排放的最大贡献者。“万物电气化”与可再生能源发电相结合，是能源和交通部门脱碳的关键解决方案。该项目旨在开发一种基于可解释的机器学习的数据驱动技术，以准确预测电气化对消费者、能源消耗和成本的影响。该项目的预期成果包括数据知情的决策支持技术，帮助消费者选择最佳的电气化技术和解决方案。这应该会带来显著的好处，例如增加社区对电气化的参与，从而减少他们的碳足迹。

The energy sector is the largest contributor to greenhouse gas emissions. "Electrification of Everything" combined with electricity generation from renewables is a key solution to decarbonise the energy and transport sectors. This project aims to develop an explainable machine learning based data-driven technology to accurately predict the impact of electrification on consumers energy consumption and cost. The expected outcome of this project includes a data-informed decision support technology to help consumers choose the best electrification technologies and solutions. This should provide significant benefits, such as increasing community engagement with electrification, and thus reducing their carbon footprint.