Outline
• Overview
• Renewable energy
• Customer behavior
• Storage battery
• Normalization
• Conclusion
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 wellintegrated 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.
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%
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
Customer Behavior
Go work
Relax
Shave
Wake up
Get up
Demand Response
Back
Home
Dry hair
Wash
Coffee
time
Cook
Sleep
Shower