That sounds promising on paper, but we need to break it down. First, the hardware cost—those sensors aren’t cheap, and you’ll need a robust communication backbone that’s reliable under all weather conditions. Then there’s the data management: real‑time analytics on that volume of data will require a solid edge‑to‑cloud pipeline, otherwise you’re just adding latency. On the energy side, the savings have to outweigh the extra load from the sensors themselves and the network infrastructure. If you can prove a clear cost‑benefit ratio and design a phased rollout—starting with the districts that have the highest consumption—that could give us a realistic 15‑20 percent cut. Still, let’s not forget maintenance and cybersecurity; those will be the hidden drains that could negate the gains if we’re not careful. So, feasible, yes, but only if we keep the plan tight and budget‑conscious.