Hello all, I would like to kindly ask for your help, if you are familiar with optimization how i can modeling this function by minimize f

T(1)=20, Ts=24, P=3 , i=[1..24], load('C.mat','C')
p(i)=p*S(i)
min f=P(i)*C(i)  
if  T(i)>Ts then S(i)=0
else if T(i)>Ts then S(i)=1
end

T(i+1)=0.25*T(i)+(0.07*2.5*p(i))/0.14

Answer 1

[Alan Weiss]

I am not sure what you are asking. Do you have a fixed array and you are trying to scan the array and find the location and value of the minimum? In that case, use the min function.

If, however, you have a function of a multidimensional continuous variable, then you might want to consult the documentation for fminsearch, which can minimize functions of several variables.

If neither of those satisfy you, then please try asking a question in complete sentences so we don't have to guess at what you mean.

Alan Weiss

MATLAB mathematical toolbox documentation

[jamal abushnaf]

Thank you Alan,I appreciate your time, my question is to minimize the total cost which is summation of the product between real-time price ( Price.mat ) and the energy consumed ( AC_load.mat ), subject to the consumer comfort (temperature tolerances) and physical limit of air-conditioner constraints. the optimization problem * min C= summation(Price(i)*AC_load(i)) * in 24 hours and subject to : Tmin<= Tin(i) <= Tmax , 0<=AC_load(i)<=AC_load_max , Tmin=Tdesire-allowed deviation Tmax=Tdesire+allowed deviation where next indoor temperature can be calculated from this equation * T(i+1)=0.25*T(i)+(0.07*2.5*AC_load(i))/0.14 I hope that is more clear, now could you please help me how I can solve this problem using an optimization tool solver such as GA , MILP or linear programmin.

[Alan Weiss]

I am not sure what your control variables are, meaning the variables that you can change in order to try to optimize something. But your problem sounds like a linear programming problem. See this example and the function reference page for details.

Alan Weiss

MATLAB mathematical toolbox documentation