It is a demand size management model which works on surplus amount of electricity produced and changes the cost structure dynamically.
 
                             
                     
                         
                        We offer dynamic pricing with the help of the real time availability of the surplus energy . If the surplus energy is high the cost is low and vice versa . Our algorithm which takes note of the transmission cost as well as maintenance cost before giving the price dynamically .
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                        The customer has the ability to schedule his appliance to run when the cost of electricity is running lowest for the day.(with the help of previous learning model)
It has three priority options High , Medium and Low. If high it will run right away but in low it will wait for the lowest price of electricity to come and then it will run .
So to raise funds for the maintenance and evolution of the grid we can sell a limited amount of unit to Each consumer in advance to gain funds to invest in our grid.(i.e 20 units a day)
As per our dynamic pricing the person can purchase the units at the rate going on at that moment .(the minimum rate we are predicting)
The units purchased is stored as the form of a digital code and he can use it whenever he wants .
To minimize the misuse of this the customers are only allowed to buy 200 units a week and they will be activated after a week of buying for use .