Monthly meter data from MEA only tells you how much electricity was consumed — not which day, which time period, or what caused any abnormally high usage day. Daily Smart Home energy data provides an incomparably more detailed and actionable picture.
Daily Energy Baseline and Variance Analysis After Energy Monitoring installation, the system builds a Daily Baseline averaged from the previous 30 days and displays a real-time graph comparing actual usage for today against the Baseline. If any day exceeds its Baseline by more than 15%, the system alerts the household with the time period and likely responsible devices identified.
Daily Load Profile: Hourly Visibility The Daily Load Profile graph displays full 24-hour consumption, making the day’s Peak Load clearly visible. This data is especially valuable for MEA TOU Tariff users, as it shows exactly how much Heavy Load overlaps with Peak Hours (09:00 to 22:00 at ฿4.18 per unit) and how much opportunity exists to shift usage to Off-Peak.
Proactive Bill Prediction The system calculates a real-time Projected Monthly Bill using accumulated consumption data since the billing period started, combined with the patterns of past days. Homeowners can see exactly what their bill will be if current behavior continues through the end of the month — with time to make adjustments before the billing date.
Daily Efficiency Score HappySmart calculates a Daily Efficiency Score from 0 to 100 indicating how efficiently the home used electricity that day relative to its Baseline and the best practices of similarly sized homes. This score is delivered as a LINE summary every evening, helping build long-term energy-saving habits.
Weekly Trend Analysis Beyond daily data, the system produces a Weekly Trend Summary showing whether this week performed better or worse than the previous week, with the top three events most impactful on energy usage highlighted — whether an abnormal Heavy Load or an Away Mode that performed well and saved a measurable amount.
ROI of Daily Analysis Households that consistently use daily energy data save 12 to 18% more than those reviewing only monthly bills, because anomalies can be addressed the same day they occur rather than being discovered only when the monthly statement arrives.