PREDICT THE THERMAL POWER PLANT GENERATION BY REGRESSION MODEL

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Mohseni Pour Fatemeh; Gholami Haghighi Ehsan

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: CONFERENCE ON POWER PLANTS
Year:2015 | Issue:7

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Title

PREDICT THE THERMAL POWER PLANT GENERATION BY REGRESSION MODEL

Author(s)

Mohseni Pour Fatemeh | Gholami Haghighi Ehsan | Issue Writer Certificate

Keywords

REGRESSION ANALYSIS

PREDIVTIVE

REGRESSION MODEL

ESTIMATION

ALPHA LEVEL

Abstract

USING MULTIPLE REGRESSION MODELS MAKE POSSIBLE TO FIND RELATIONSHIP BETWEEN THE VARIOUS VARIABLES AND THE RESPONSE VARIABLE (OBJECTIVE VARIABLE). THESE MODELS DEMONSTRATE THE EFFECTS OF THE VARIABLES ON THE OBJECTIVE VARIABLE, SIMULTANEOUSLY, SO WHICH IS USED EXTENSIVELY IN ALL FIELDS OF INDUSTRY AND TRADE. IN OTHER WORDS, THE MULTIPLE REGRESSION MODELS MAKE POSSIBLE TO PREDICT THE RESPONSE VARIABLE (OBJECT) BASED ON SEVERAL INDEPENDENT VARIABLES, AND FIND THE TYPE AND PROPORTION OF INFLUENCE OF EACH VARIABLE AS DIRECT OR INVERSE. IN THIS PAPER, THE RANDOM SAMPLES OF HORMOZGAN THERMAL POWER PLANT GENERATION IN SEPTEMBER 2014 AND SEVERAL AFFECTIVE VARIABLES ON THE GENERATION OF THE 2TH THERMAL UNIT WERE SELECTED TO FIND THE INFLUENCE OF EACH VARIABLE ON THE GENERATION. ALL HYPOTHESIS TESTING, ANALYSIS OF VARIANCE AND ESTIMATION OF PARAMETERS IN THE MODEL HAS BEEN ACCOMPLISHED BY USING THE R SOFTWARE ON 0.05 ERROR LEVEL (ALPHA LEVEL).

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APA: Copy

Mohseni Pour, Fatemeh, & Gholami Haghighi, Ehsan. (2015). PREDICT THE THERMAL POWER PLANT GENERATION BY REGRESSION MODEL. CONFERENCE ON POWER PLANTS. SID. https://sid.ir/paper/907753/en

Vancouver: Copy

Mohseni Pour Fatemeh, Gholami Haghighi Ehsan. PREDICT THE THERMAL POWER PLANT GENERATION BY REGRESSION MODEL. 2015. Available from: https://sid.ir/paper/907753/en

IEEE: Copy

Fatemeh Mohseni Pour, and Ehsan Gholami Haghighi, “PREDICT THE THERMAL POWER PLANT GENERATION BY REGRESSION MODEL,” presented at the CONFERENCE ON POWER PLANTS. 2015, [Online]. Available: https://sid.ir/paper/907753/en

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