Energy
Analytics and intelligence on energy data for consumption, production and efficiency optimisation with prediction, alerts and reporting that turn the consumption curve into actionable savings decisions.
Analytics and intelligence on energy data
Most companies with relevant energy consumption already have data from meters, solar inverters and measurement equipment; what is missing is what comes next. Captia AI applies analytics and intelligence to that data to optimise consumption, production and efficiency: operational analytics to turn the bill into real behaviour, prediction and early alerts to anticipate consumption and flag deviations, and intelligent reporting to replace the reports someone builds by hand every month.
Forecasting is the piece that pays directly: predicting solar production and expected consumption lets flexible processes run on self-generated energy instead of buying at peak hours. Start with an analysis on the data already available, add alerts and reporting, and bring in prediction as history accumulates. Data ingestion from solar and measurement systems is covered by the connectivity layer for energy in Captia Connect; physical installations belong to Captia Energy.
Frequently asked questions
- What can be analysed with a company’s energy data?
- The basics: when, where and why energy is consumed. Analytics turns the bill into real behaviour: which processes concentrate consumption, which time bands drive cost, whether self-consumption is being used or spilled, and which deviations from the usual pattern signal a problem, such as an asset consuming more than it should.
- What is the difference between monitoring consumption and applying intelligence to it?
- Monitoring is seeing the data; intelligence is making it act. Monitoring shows the consumption curve. The intelligence layer adds alerts when something deviates, consumption and production forecasting for planning, and reporting that reaches the right people on its own. Monitoring is the base; intelligence turns it into decisions and savings.
- Is energy forecasting useful if I have solar self-consumption?
- It is one of the cases where it adds the most. Forecasting solar production and expected consumption lets you schedule flexible processes to use your own energy instead of buying it at expensive hours. Without forecasting that decision is guesswork; with it, it can be systematised and even automated.
- Do I need new meters to start?
- Not always. Many companies already have data from the main meter, solar inverters or existing measurement equipment. The first step is to use what is already measured; extending metering to specific processes makes sense once the initial analysis shows where it pays off. Ingesting those sources is the job of Captia’s connectivity layer.