Modern Energy Management Systems (EMS) such as EnergyCAP, NEORIS Verifeyed, SkySpark and Metriom automate meter data collection, baseline computation, adjustment application and the generation of IPMVP-conformant M&V reports, saving roughly 80 percent of the reporting time compared with manual Excel work.

A modern EMS delivers four core automations: data collection from meters over Modbus, BACnet or MQTT interfaces; continuous baseline regression on a rolling window; automatic application of routine adjustments using weather APIs (NOAA, Meteo France) and occupancy inputs; and templated IPMVP-style reporting that remains customisable. They also raise alerts when realised savings drift away from the model (drift detection). Typical SaaS pricing of one to five euros per meter per month is easily justified on large portfolios, where the alternative is several full-time analysts maintaining spreadsheets.

An EMS is justified beyond a few dozen meters. Below that threshold, Excel plus a good Python script remains more cost-effective and equally rigorous.