科灵市人工智能驱动的能源优化
技术
- 分析与建模 - 机器学习
- 传感器 - 电表
适用行业
- 建筑物
- 城市与自治市
用例
- 连续排放监测系统
- 水务管理
关于客户
科灵市政府是一家拥有雄心勃勃的节能目标的公共建筑业主。该市负责其 450 处房产的能源优化，包括学校、体育场馆和其他公共建筑。科灵市能源协调员 Pernille Bech Darbroudi 负责电力、水和热消耗的报告。该市政府正在寻求一种现代、高效的解决方案来识别能源浪费并优化其建筑物的能源消耗。
挑战
科灵市政府是一家公共建筑业主，在实现其雄心勃勃的节能目标方面面临着挑战。现有的能源管理程序已经过时且效率低下，使得手动分析电表数据成为一项耗时的任务。这种低效率使得很难识别该市众多物业（包括学校和体育场）的能源波动。该市政府需要一种现代、高效的解决方案来识别能源浪费并优化其建筑物的能源消耗。
解决方案
该市政府与专门从事人工智能 (AI) 能源优化的丹麦创业公司 Ento 合作。 Ento 的人工智能解决方案自动分析能源消耗数据并提出潜在的节能建议。该解决方案基于来自公用事业公司的电力数据，并包括其他几个来源，以使人工智能能够更深入地了解能源消耗。人工智能解决方案可通过在线门户访问，为市政当局提供高效且用户友好的界面。在该市的 450 处房产中，有 210 处被人工智能解决方案确定为需要分析的相关房产。
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