Formula from curves for two inputs

In summary, the conversation discusses the need for help in finding a formula to relate power output with temperature and humidity inputs. The data is normalized and there are thousands of data points available. The person is looking for a way to draw curves and find a formula that represents the relationship between the variables. They mention potentially using the quadratic Shepard's method or numerical methods to solve this problem.
  • #1
MOOON
2
0
dear all,

Hello,


I need your help in this matter,


the discription of the subject is:

we have two input vectors ( included in one vector):

T ( temperature ) and H ( humidity ), there is a corresponding one output

P ( power demand ), and all these data are normalized

I have thousands of data for these values done for many years.


for sample example: ( l assume that we have the data for 5 hours )

T_H=[0.3333 0.3333 0.3542 0.3750 0.3750 ; 0.6970 0.8384 0.6869 0.7980 0.7677]

and the corresponding P is:

P=[0.6561 0.6618 0.6568 0.6694 0.6622]

I need to draw a curves relating all data,

and THE MOST IMPORTANT THING WHICH IS THE AIM OF MY PROBLEM IS :

finding ( inventing ) a formula depending on the curves drawn that relates
the power as an output with the temperature & humidity as inputs,

meaning:

P = f (T,H)

for example: the formula model may be:

P = a0 + a1 * T + a2*H*sin(T) + a3*T^3*H + a4*T*H

then finding a0,a1,a2 and a3 and this is easy and I
know how to find them.

BUT, my problem is how can I find this above example model function P ?
is it by dividing the curve to parts and then finding a function
for each part ? but how is this done by MATLAB ?
Any idea ?


Can anybody help me? I am appreciating any help.
and remember, any service will be valuable for me

Best regards
 
Physics news on Phys.org
  • #2
You might Google quadratic Shepard's method and see if what you find there is a help to you. You might even find already done implementations.
 
  • #3
Thanks for your reply,

I think that the problem is mathematics and

also it is related to numerical methods..

If we forget about electrical point of view and consider

the variables as three variables, one dependent ( P )

and the others are independent ( T & H )

How can we relate them in equation of the form: P = f ( T , H )

and the behaviour of the graphs and plots are nonlinear

knowing thousands of data of these variables ..

regards
 

1. What is the formula for finding the curve of a graph with two inputs?

The formula for finding the curve of a graph with two inputs is known as a bivariate equation. It is typically written in the form of y = f(x, z) or z = f(x, y), where x and y are the two input variables and z is the output variable. This type of equation allows for a curved relationship between the two inputs, rather than a linear relationship.

2. How is a bivariate equation different from a univariate equation?

A bivariate equation involves two input variables, while a univariate equation only involves one input variable. This means that the relationship between the input and output variables in a bivariate equation can be curved, while in a univariate equation it is limited to a linear relationship.

3. Can a bivariate equation be used to predict outcomes for both input variables at the same time?

Yes, a bivariate equation can be used to predict outcomes for both input variables at the same time. This is because the equation takes into account the relationship between the two inputs and can generate a curve that represents the behavior of both variables simultaneously.

4. How do you plot a bivariate equation on a graph?

To plot a bivariate equation on a graph, you will need to first choose values for both input variables. Then, substitute these values into the equation and solve for the output variable. This will give you a set of coordinates, which you can then plot on the graph. Repeat this process for several different combinations of input values to create a curve on the graph.

5. Are there any limitations to using a bivariate equation to represent a relationship between two inputs?

While a bivariate equation can accurately represent a curved relationship between two inputs, it may not be suitable for all types of data. If the relationship between the two inputs is not curved, a bivariate equation may not be the most appropriate way to represent it. Additionally, some bivariate equations may have multiple solutions, making it difficult to determine the exact relationship between the inputs and output.

Similar threads

  • Calculus and Beyond Homework Help
Replies
1
Views
8K
  • Engineering and Comp Sci Homework Help
Replies
5
Views
3K
Replies
1
Views
2K
  • Programming and Computer Science
Replies
1
Views
7K
  • Engineering and Comp Sci Homework Help
Replies
1
Views
2K
  • Engineering and Comp Sci Homework Help
Replies
2
Views
2K
  • STEM Academic Advising
Replies
13
Views
2K
Replies
14
Views
24K
  • STEM Academic Advising
Replies
10
Views
4K
Replies
2
Views
2K
Back
Top