Collecting AC data is only useful if you act on it. This 30-day plan gives you a clear sequence: Week 1, establish a baseline; Week 2, implement one major change; Week 3, add a second optimization; Week 4, measure, compare, and lock in habits. By the end, you'll have data-backed savings and a repeatable process.
Week 1: Establish Your Baseline
Do nothing different—just measure. Install a smart plug or use your AC app to track kWh, runtime, and cost for 7 days. Note your typical schedule, setpoints, and any anomalies (guests, heat wave). This baseline is your reference. Log daily kWh and weekly total.
| Day | kWh | Runtime (hrs) | Notes |
|---|---|---|---|
| Mon–Sun | Log each day | From app | Schedule, weather, occupancy |
| Week 1 total | Baseline kWh | Baseline hrs | Your starting point |
Week 2: Implement One High-Impact Change
Choose the biggest lever from your baseline. Common options: (1) Away mode—turn AC off or to 28°C when you're at work. (2) Raise setpoint—from 22°C to 24°C or 24°C to 26°C. (3) Sleep mode—use built-in or create a routine. Implement on Day 8 and maintain for the week. Log daily kWh.
Week 3: Add a Second Optimization
Layer in another change. If Week 2 was schedule, add setpoint or fan. If Week 2 was setpoint, add schedule or pre-cool timing. Don't change Week 2's tweak—build on it. Log daily kWh. Compare Week 3 total to Week 1.
| Optimization | Typical Impact | Ease |
|---|---|---|
| Away mode (9–6) | 15–25% | Easy |
| Raise setpoint 2°C | 10–15% | Easy |
| Sleep mode | 5–10% | Easy |
| Add fan, raise 1°C | 5–10% | Easy |
| Pre-cool timing | 5% | Moderate |
| Occupancy sensor | 10–20% | Moderate |
Week 4: Measure, Compare, Lock In
Calculate: Week 4 total kWh vs Week 1. Compute percentage reduction. If weather was similar, this is your savings. If Week 4 was milder, your real savings may be higher. Document what worked and make it permanent. Set a monthly reminder to review.
Tracking Template
Use a simple spreadsheet or notes app. Columns: Date, kWh, Cost, Runtime, Change made, Notes. At the end of 30 days you'll have a clear before/after and a list of what to keep.
Common Pitfalls
- Changing too many things at once (can't attribute savings).
- Ignoring weather (hot week vs mild week skews comparison).
- Not logging consistently (gaps in data).
- Giving up if Week 2 shows no change (some optimizations take time).
FAQs
What if I don't have a smart plug or energy monitor?
Use your utility bill for before/after. Read the meter at the start and end of each week. Less precise but works. Or buy a basic smart plug (₹1,000) for the experiment.
How do I account for weather differences?
Note "hot," "mild," or "normal" each week. If Week 4 was cooler than Week 1, your % reduction understates savings. If Week 4 was hotter, you did even better than the numbers suggest.
Can I do this with multiple ACs?
Yes. Track each separately if you have multiple plugs. Optimize the heaviest user first—biggest impact.
What if my family resists setpoint changes?
Start with away mode and sleep mode—invisible when they're home. Introduce setpoint change gradually (0.5°C per week) or pair with a fan so it feels the same.
Should I repeat the 30-day plan seasonally?
Yes. Run it at the start of summer and again in peak heat. Habits drift; a quarterly check keeps you on track.
How do I calculate cost savings?
Multiply kWh reduction by your electricity rate (₹/kWh). Use our AC Energy & Cost Calculator to model different scenarios.
Conclusion
Thirty days is enough to establish a baseline, make two meaningful changes, and see results. Log data, act deliberately, and measure. Use our AC Energy & Cost Calculator to project long-term savings from your 30-day gains.