TesCalculs

LINKY · Mainland France · Free · No account

Understand your Linky consumption. Take control of your electricity bill.

Import your history: patterns, baseload, peaks and Base / HP-HC / Tempo comparisons. Results calculated from your readings, with clear limitations.

Explore the demo

Analyse my Linky consumption

Drop your CSV here or select a file

CSV / TSV · Maximum 10 MB · Save XLSX as CSV first. Do not upload a PDF bill.

Your file stays in this browser. No readings are uploaded; no ads or analytics run in this analyser.

Fictional demo — these are not your readings

Overview

09/01/2025 → 09/01/2026 · For the imported period

Synthetic household over a full season. No saving is guaranteed.

Measured energy

8,564.1 kWh

One full observed year

How is this calculated?

Sum of retained interval Wh ÷ 1,000. Grid imports, not necessarily all household use when solar panels are present.

Simulated reference cost

€1,904.48

For the imported period

How is this calculated?

Each interval uses its time band and actual RTE colour for Tempo. Subscription including tax is prorated. Today’s grid applied to past readings is not a reconstruction of an old bill.

Estimated resting home

255 W

Confidence : Medium

How is this calculated?

Stable windows of at least 2 h across at least 5 days. Technical baseline: 10th percentile of stable average powers. Resting home: weighted average of the lowest quarter. Statistical estimates, not absence detection.

Simulated saving: usage + tariff

€98.99

Compare French tariffs

How is this calculated?

Optional assumptions, not promised savings. The series is transformed and rebilled; gains are not added. Comfort, appliance capacity and equipment costs are not modelled.

Lowest cost among computable scenarios : Tempo · €1,805.50 How is this calculated?

Quality and precision · 100/100
retained readings
17,520
Time coverage
100 %
Usable rows
100 %
Missing hours
0 h
Measurement type
30 min

02 · Understand

My typical day

My typical day2102.1 W00:0011:3023:30

Average power by 30-minute band, weighted by observed duration. Hourly readings do not reveal half-hour variations. Paris time, including clock changes.

View values
My typical day · W
hMeanMedianMinimumMaximum
00:00457265250748
00:30457265250748
01:002,0067452504,348
01:302,0067452504,348
02:002,0057452504,348
02:302,0057452504,348
03:002,0067452504,348
03:302,0067452504,348
04:00457265250748
04:30457265250748
05:00457265250748
05:30457265250748
06:00457265250748
06:301,6071,4151,4001,898
07:001,6071,4151,4001,898
07:301,6071,4151,4001,898
08:00457265250748
08:30457265250748
09:00457265250748
09:30457265250748
10:00457265250748
10:30457265250748
11:00457265250748
11:309577657501,248
12:009577657501,248
12:309577657501,248
13:00457265250748
13:30457265250748
14:00457265250748
14:30457265250748
15:00457265250748
15:30457265250748
16:00457265250748
16:30457265250748
17:006022652501,098
17:306022652501,098
18:002,1021,7651,7502,598
18:302,1021,7651,7502,598
19:002,1021,7651,7502,598
19:302,1021,7651,7502,598
20:002,1021,7651,7502,598
20:302,1021,7651,7502,598
21:006022652501,098
21:306022652501,098
22:006022652501,098
22:306022652501,098
23:00457265250748
23:30457265250748
View an actual day
View an actual day3856 W12:00 AM GMT+211:30 AM GMT+211:30 PM GMT+2

Average power for each imported interval. Gaps remain visible and both occurrences of the repeated autumn hour are retained.

View values
View an actual day
HourWhMean · W
12:00 AM GMT+2128256
12:30 AM GMT+2128256
01:00 AM GMT+21,9283,856
01:30 AM GMT+21,9283,856
02:00 AM GMT+21,9283,856
02:30 AM GMT+21,9283,856
03:00 AM GMT+21,9283,856
03:30 AM GMT+21,9283,856
04:00 AM GMT+2128256
04:30 AM GMT+2128256
05:00 AM GMT+2128256
05:30 AM GMT+2128256
06:00 AM GMT+2128256
06:30 AM GMT+27031,406
07:00 AM GMT+27031,406
07:30 AM GMT+27031,406
08:00 AM GMT+2128256
08:30 AM GMT+2128256
09:00 AM GMT+2128256
09:30 AM GMT+2128256
10:00 AM GMT+2128256
10:30 AM GMT+2128256
11:00 AM GMT+2128256
11:30 AM GMT+2378756
12:00 PM GMT+2378756
12:30 PM GMT+2378756
01:00 PM GMT+2128256
01:30 PM GMT+2128256
02:00 PM GMT+2128256
02:30 PM GMT+2128256
03:00 PM GMT+2128256
03:30 PM GMT+2128256
04:00 PM GMT+2128256
04:30 PM GMT+2128256
05:00 PM GMT+2128256
05:30 PM GMT+2128256
06:00 PM GMT+28781,756
06:30 PM GMT+28781,756
07:00 PM GMT+28781,756
07:30 PM GMT+28781,756
08:00 PM GMT+28781,756
08:30 PM GMT+28781,756
09:00 PM GMT+2128256
09:30 PM GMT+2128256
10:00 PM GMT+2128256
10:30 PM GMT+2128256
11:00 PM GMT+2128256
11:30 PM GMT+2128256

Consumption over time

Consumption over time992.93 kWh2025-092026-032026-09
View values · 13
Consumption over time
Analysed periodkWhhMean · W
2025-09534.4714748
2025-10549.37745737
2025-11933.717201,297
2025-12992.937441,335
2026-01960.537441,291
2026-02880.316721,310
2026-03981.397431,321
2026-04535.91720744
2026-05538.31744724
2026-06546.71720759
2026-07549.11744738
2026-08549.11744738
2026-0912.3262,053

Estimated resting home

255 W

6.11 kWh / day

Estimated technical baseline : 253 W

At constant power throughout the year: 2,231 kWh / 365 days

Energy incl. tax · For the imported period : €446.48

How is this calculated?

Stable windows of at least 2 h across at least 5 days. Technical baseline: 10th percentile of stable average powers. Resting home: weighted average of the lowest quarter. Statistical estimates, not absence detection.

5,512 h · 366 days

Estimated technical baseline736 W2025-092026-022026-08

10 W continuously = 87.6 kWh over 365 days. Reducing baseload requires a genuinely avoidable use; never switch off essential equipment.

What your readings show

  • 36% of measured energy occurs between 22:00 and 06:00.

    Confidence : Medium
  • Weekend average power differs by -25.1% from weekdays, using complete days.

    Confidence : Medium
  • 55.5% occurs November–March: seasonal pattern, not proof of heating type.

    Confidence : Medium
  • Average morning peak: 1,607.3 W. Check schedules rather than inferring an appliance.

    06:30Confidence : Low
  • Average evening peak: 2,102.1 W. Simultaneous uses may add up.

    18:00Confidence : Low
  • Night runs of at least 2 h reach about 4,057.3 W on several days. Compatible with EV charging, water heating or heating; appliance not identified.

    Confidence : Low

A pattern does not identify an appliance. Several uses can produce the same curve.

Refine the interpretation · optional

With solar, this analyses grid imports. Baseload is estimated at night; generation and self-consumption are unknown.

03 · Optimise

My optimisation scenario

Check the steady load

Stable periods allow a resting-load estimate; it is not necessarily all standby waste.

Review known continuous uses and settings against their manuals. Do not switch off essential equipment.

Moderate confidence · Feasibility depends on equipment · Investment not estimated

Understand night-time use

The profile shows notable night-time consumption, without identifying its appliances.

Compare those days with known uses. Night-time is not automatically off-peak under your contract.

Limited confidence · Simple check · No purchase needed to check

Compare like-for-like periods

The profile varies over time; weather, occupancy and equipment may contribute without being identified by the readings.

Compare similar seasons and uses before attributing a change to a saving action.

Limited confidence · Simple check · No purchase needed to check

Confirm contract parameters

Cost depends on rates, subscribed capacity and applicable time windows, not only kWh.

Check these details in your contract, especially changed HP/HC windows. A short period cannot settle an annual tariff choice.

Moderate confidence · Simple check · No purchase needed to check

Optional assumptions, not promised savings. The series is transformed and rebilled; gains are not added. Comfort, appliance capacity and equipment costs are not modelled.

Only existing off-peak intervals on the same day. This fraction must represent a genuinely shiftable use, confirmed by you.

Difficulty and investment depend on equipment. No automatic purchase recommendations.

Compare French tariffs
Before€1,904.48
After scenario€1,805.50
Difference€98.99

For the imported period · BaseTempo

04 · Simulate

Compare French tariffs

Each interval uses its time band and actual RTE colour for Tempo. Subscription including tax is prorated. Today’s grid applied to past readings is not a reconstruction of an old bill.

Off-peak

Enter your contract’s 8 off-peak hours, in up to 2 bands. Do not assume 22:00–06:00. If they changed during the period, analyse separate files.

My own prices

Base

6 kVA

€1,904.48
Energy incl. tax
€1,713.67
Prorated subscription
€190.81
How is this calculated?

Price grid valid from 2026-08-01 · Checked on 2026-09-23

Annual subscription incl. tax (€) : €190.81

  • base : 0.2001 €/kWh
  • base : 8,564.09 kWh · €1,713.67
CRE

HP/HC

6 kVA

€1,854.73
Energy incl. tax
€1,663.92
Prorated subscription
€190.81
How is this calculated?

Price grid valid from 2026-08-01 · Checked on 2026-09-23

Annual subscription incl. tax (€) : €190.81

  • hp : 0.2142 €/kWh
  • hc : 0.1589 €/kWh
  • hp : 5,480.78 kWh · €1,173.98
  • hc : 3,083.31 kWh · €489.94
CRE

Tempo

6 kVA

€1,805.50
Energy incl. tax
€1,615.52
Prorated subscription
€189.98
How is this calculated?

Price grid valid from 2026-08-01 · Checked on 2026-09-23

Annual subscription incl. tax (€) : €189.98

  • blue_hp : 0.1654 €/kWh
  • blue_hc : 0.1356 €/kWh
  • white_hp : 0.1921 €/kWh
  • white_hc : 0.1536 €/kWh
  • red_hp : 0.7295 €/kWh
  • red_hc : 0.1615 €/kWh
  • blue_hp : 4,210.48 kWh · €696.41
  • blue_hc : 2,427.76 kWh · €329.20
  • white_hp : 817.79 kWh · €157.10
  • white_hc : 401.87 kWh · €61.73
  • red_hp : 452.51 kWh · €330.11
  • red_hc : 253.68 kWh · €40.97
CRE

Check eligibility and terms with the supplier. Base 9–15 kVA is being phased out; average Linky readings cannot determine required capacity.

Tempo: actual RTE days, 06:00 to 06:00. An unknown day stays unknown; never replaced with blue.

Price grid valid from 2026-08-01 · Checked on 2026-09-23. RTE

Understand the readings, then take action

Six practical checks to keep an estimate distinct from an electricity bill.

1. Download your Linky data

In your Enedis account, select your meter and available readings. For time-of-day analysis, look for the load curve and export the period you need.

Do I need to provide my login details?

No. Sign in directly on the official service, then select the downloaded file here. Portal labels may change. This tool does not connect to your account.

Explore home and energy tools

Sources : Enedis

2. Read an electricity consumption curve

kWh measures energy; W and kW measure power. For example, an average 1 kW over 30 minutes uses 0.5 kWh. Check units, intervals and dates before interpreting peaks.

Can a daily total identify off-peak consumption?

No. Daily or monthly totals do not show the time-of-day split. The analyser does not invent missing readings and limits its results when the detail is insufficient.

Convert kWh into cost

Sources : Enedis

3. Estimate household baseload

Here, baseload means estimated background power during low, stable periods. It is not the measured consumption of an identified appliance or proof of wasted energy.

Can I attribute it to my fridge?

No. The readings cover the whole home. Identifying an appliance needs additional measurements. A short or unusual period makes the estimate less robust.

Estimate an appliance’s running cost

Sources : CNIL

4. Compare Base and peak / off-peak tariffs

Compare the same readings using unit prices, standing charges and your contractual time bands. A lower off-peak unit rate does not guarantee a lower total bill.

Is 22:00–06:00 valid for every contract?

No. Enter your contract’s actual bands and check for changes. The comparison applies chosen prices to your history; it does not automatically reproduce an old bill.

Understand the cost of kWh

Sources : CRE

5. Understand a Tempo simulation

Tempo combines a day colour with time bands: peak 06:00–22:00, off-peak 22:00–06:00. Between midnight and 06:00, the previous day’s colour still applies.

Does it predict future red days?

No. The bundled historical calendar contains only available dates. Future or missing dates remain unknown; an incomplete result is not a guaranteed saving.

Estimate electric-vehicle charging

Sources : EDF · RTE

6. Test ways to lower electricity costs

First compare periods and data quality. Then test a realistic assumption: reduce consumption or shift a flexible use. Moving an activity to another time does not remove its kWh.

Will I achieve the displayed saving?

It is a simulation based on assumptions, not a promise. Check appliance constraints and your contract. Average power peaks alone cannot determine the appropriate subscribed capacity.

Understand watts and amperes

A consumption profile can reveal household routines. Avoid publishing your file or detailed results. CNIL

Privacy

Analysis runs on your device without an AI API. Hosting receives requests to load this page; your IP may appear in hosting logs depending on site configuration. CSV data, settings and results are not uploaded. This analyser creates no cookies or persistent storage. Clear my data resets memory; delete downloaded reports separately.

Results cannot identify appliances or instantaneous peak demand. They do not replace your contract or an electrical assessment.