1. Outline Overview Renewable energy Customer behavior Storage battery Normalization Conclusion

2. Overview In the sides, the proposed control strategy of energy switching between a storage battery and residential appliances is scheduled considering the features of customer behavior to avoid the peak load time. The features of customer behaviors characterized with demand response of appliances in a smart home is well- integrated to achieve the goal of energy saving. An important interrelated benefit of such home energy management system (HEMS) is that associated with the learning experience in which feedback of recorders from the database. The proposed control strategy in the HEMS is an adaptive learning process intuitively from the experience of customer behaviors daily and weekly.

3. Renewable energy present the world renewable consumption by source 2010 total of renewable is 16.7% otherwise fossil fuel 80.6% and nuclear 2.7%

4. Power of PV in different period time This graph is shown the PV power that we can get in each period for example in the morning (09.00) the PV power average is 0.43 in the noon (12.00) the PV power average is 0.62 and for the night time (01.00) the PV power average is 0.01

5. Customer Behavior Wake up Get up Shower Shave Dry hair Coffee time Go work Back Home Cook Relax Wash Sleep Demand Response