Demand for energy has increased significantly across the globe due to increase in population and economic growth. Growth in energy demand poses serious threat to the environment since majority of the energy sources are non-renewable and based on fossil fuels, which leads to emission of harmful greenhouse gases. Organizations across the world are facing challenges in transitioning from fossil fuels-based sources to greener sources to reduce their carbon footprint. As a step towards achieving Net-Zero emission target, we present a scalable AI based solution that can be used by organizations to increase their overall renewable electricity share in total energy consumption. Our solution provides facilities with accurate energy demand forecast, recommendation for procurement of renewable electricity to optimize cost and carbon offset recommendations to compensate for Greenhouse Gas (GHG) emissions. This solution has been used in production for more than a year for four facilities and has increased their renewable electricity share significantly.

为了实现零排放目标，本文提出了一种可扩展的基于人工智能的解决方案，可帮助组织提高可再生电力在总能源消耗中所占比例，通过提供准确的能源需求预测、可再生电力采购建议以优化成本以及碳抵消建议来弥补温室气体排放。该解决方案已在四个设施中使用超过一年，并显著增加了它们的可再生电力占比。

可再生电力实现的可持续性 (SuRE) 朝向零排放