Demand response means adjusting home electricity consumption to align with price signals from the utility or capacity signals from the grid. In Thailand, MEA and PEA operate Time of Use (TOU) tariffs that distinguish Peak hours (09:00–22:00 Monday to Friday) from Off-Peak hours. The price differential between the two windows is approximately 2.5 to 3 times, making load shifting the most accessible form of residential demand response — with a saving potential of 20–35% for households that automate the shift effectively.
The core load-shifting strategies for a Smart Longevity home are pre-cooling, appliance scheduling, and EV charge optimisation. Pre-cooling drops the air-conditioning set-point 1–2°C during the 06:00–08:30 off-peak window, loading thermal mass before peak tariff begins. Laundry and drying cycles are scheduled after 22:00 using smart plugs or smart appliance connectivity. EV charging is queued after midnight when grid demand and tariff rates are lowest. A properly configured Smart Home hub executes all of these automatically without occupant intervention.
Thailand’s solar feed-in tariff programme operates under a Net Metering framework for residential prosumers. Excess solar generation is exported at the regulated FiT rate. A Smart Home energy management system maximises FiT returns by monitoring real-time production and consumption, deferring flexible loads until solar output is near peak, and managing battery charge and discharge cycles to maximise self-consumption during Peak tariff hours. EGAT also operates formal DR aggregation programmes that pay residential participants for curtailing consumption during grid stress events — smart hubs with open APIs can respond to these signals automatically.
Implementation requires a CT clamp energy monitor at the consumer unit, a hub platform with TOU automation (Home Assistant is well-suited), and ideally a 5–10 kWh battery paired with rooftop solar. The combined annual saving for a well-optimised Smart Longevity home reaches THB 15,000–40,000 depending on household size, solar capacity, and battery configuration.