The realization of the demand for the cooling load forecasting scenario requires not only the participating teams to master the high-tech skills of AI algorithm development,but also the deep insight into the building motor scenario,and the combination of IT and OT to stimulate the maximum value of AI in the scenario.For the construction industry,Schneider Electric launched a cloud energy efficiency building consultant,which uploads the energy data of all equipment every minute and every second to the cloud platform,conducts big data monitoring and analysis,and introduces machine learning technology to help monitor changes in energy consumption and identify room for improvement,and then formulate Effective energy saving strategies.Take Taigu Group as an example,Schneider Electric provides digital energy efficiency solutions including cloud energy efficiency building consultants for its commercial complex project of nearly 2 million square meters.Through a unified energy management system,it is accelerating the digitalization of enterprises and low-carbon sustainable development.process while delivering tangible energy efficiency benefits
冷负荷预测场景的需求实现，不仅要求参赛团队掌握AI算法开发的高技术力，也需要对建筑电机场景的深刻洞察，将IT、OT相结合从而激发AI在场景中的最大价值。面向建筑行业，施耐德电气推出云能效楼宇顾问，把每分每秒全部设备的能源数据上传到云平台，进行大数据监控分析，引入机器学习技术，帮助监控能耗变化和识别改善空间，进而制定有效的节能策略。以太古集团为例，施耐德电气为其近200万平方米的商业综合体项目提供了包括云能效楼宇顾问在内的数字化能效方案，通过统一的能源管理系统，在加速企业数字化与低碳可持续进程的同时，带来切实的能效收益
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