Energy Consumption

Process

Timestamp

Data Monitoring

--
--
--
--
--
--

Temperature

  • Mostly Sunny
  • Partly Sunny
  • Partly Cloudy
  • Mostly Cloudy
  • Cloudy
  • Hazy
  • Thunderstorm
  • Rain
  • Sleet

Previ-Conso Engine

Day-Night loop

010100101010101011010101110100
010100101010101011010101110100
010100101010101011010101110100
010100101010101011010101110100
010100101010101011010101110100
010100101010101011010101110100

Any operating data

I - Contextualizing results

  • 1 - Weather condition
  • 2 - Temperature
  • 3 - Maintenance
Prévi-Conso prioritizes factors of your consumption and indicates the leverswhich are the most efficient to master your expanditures.

II - Consumptions forecast

Consumptions Forecast
You choose the period and Prévi-Conso indicates you graphically the consumptions forecast coming.

III - Results explicability



3 kWh +/- 5%
Prévi-conso is based on a transparent artificial intelligence engine explaining clearely the computed amount of energy

Added values of PREVI-CONSO

Enhancement of energy supplying constraints management (power excess, price ranges).

Anticipate flexibility commitment (consumption shedding, limit of capacity).

Forecast energy expanditures.

Optimizing energy on site : recovery, renewable, storage.

Prompt
Need

forecast service open online.

Register

Personalised Study

Provision of data analysis and prediction of contextualized consumption.

Continuing Need

Integration of a forecast module into an existing information system (scada, supervision, command control).

Prévi-Conso stages

From your data to your forcast

Your actions

Logo Prévi-Conso

Create your project

Give a name to your project, locate your site and load your data.

1

Analysis and cleaning of your data

Broadly speaking, monitored data contains errors - outliers data, missing data, etc. - that we correct for you.

2

Enrich your data

Add to your consumption data weather data, selecting the ones which seems you the more consistent as well as data of your internal processus.

3

Development of the forecast model

Your data is packaged and processed in order to create your forecast.

4

Consult your results

You can : consult your forecast, compare it to your input data, download it in CSV format and print it.

5