Power demand medium term forecasting for Vitarich Corporation using data mining algorithm
![Thumbnail](/bitstream/handle/20.500.12852/2244/BSES_BoronWO_2020_Ab.pdf.jpg?sequence=4&isAllowed=y)
Page views
174Petsa
2020Tagapayo ng Tesis
Tagapangulo ng Panel ng Depensa
Magbahagi
Metadata
Ipakita ang buong tala ng item
Abstract
Forecasting provides a well founded decision in making future developments, in maintaining a stable system, and in avoiding technical risks. This study focuses on data mining the historical records of Vitarich Corporation, a feed milling company, accumulated starting April 2013 until September 2019. Applying Multiple Linear Regression, this aims to project power demand in the next five years which will be the basis in understanding the power system. Using Minitab Statistical Software, data were processed and analyzed, then the results were accumulated and compared to the data analysis gathered from another built-in application namely IBM Statistical Package for the Social Sciences (SPSS) in order to verify and secure its output forecast supervised by a professional statistician. It was determined during the first trial that only production was significant having the p-value equal to 0.0 while temperature, pressure, and humidity having p-values 0.505, 0.092, 0.864 respectively were out of range within the standard limit (0.0 - 0.05). Afterwhich, two succeeding reevaluations were done until it was observed that the residual result has a balanced standard deviation within the range (+4 to -4). Linear equation best fitted the model and gave the energy equation equal to 61822 + 1.1742 (PRODUCTION). The energy values were converted to its equivalent power values which is more vital in understanding capacity limit and power demand of Vitarich Corporation. Finally, it was determined that the system is still capable to withstand the requirement on the next five years having a forecasted power demand equal to 354.98 kW (443.72 kVA).
Paglalarawan
Abstract only
Mungkahing Sipi
Boron, W. O. , Anacan, J. P. D. , Haro, E. V. J. G. & Sedotes, J. N. F. (2020). Power demand medium term forecasting for Vitarich Corporation using data mining algorithm (Unpublished special paper). Central Philippine University, Jaro, Iloilo City.
Uri
Special paperMga Paksa
Mga keyword
Kagawaran
Department of Electrical EngineeringDegree
Bachelor of Science in Electrical EngineeringLokasyon ng Istante
Filipiniana Theses 621.3072 B645
Pisikal na paglalarawan
x, 163 leaves
Collections
Mga parehong item
Ipinapakita ang mga item na nauugnay sa pamagat, may-akda, tagalikha at paksa.
-
A proposed intervention to improve the power quality and system efficiency of Calinog substation feeder 2
Roquios, Jose Redmond Eric S. (2007)Rationale Iloilo II Electric Cooperative, Inc. (ILECO II) is an electric distribution utility which supply electric power to the central part of the Province of Iloilo. With the passage of the RA 9136 otherwise known as ... -
Proposed wind power plant for power generation and irrigation system at Barangay Carabalan, Himamaylan, Negros Occidental
Vasquez, Rodel M. (2002)Introduction 1.1 Economic Condition The present power rate of National Power Corporation (NAPOCOR) is surging high due to inflation rate and maintenance cost of the existing Geothermal Power Plant that supplies electricity ... -
Proposed quality maintenance system for diesel power plant (abstract paper)
Longno, Gilbert S. (2002)Rationale/introduction of the study Diesel Power Plants assume a vital role in the global as well as countries’ economy by providing quick response to power generation demand whenever and where ever they are needed. The ...