Electrical energy and power demand forecasting at E.A.C.

Τίτλος

Electrical energy and power demand forecasting at E.A.C.

Θέμα

Electric power consumption--Cyprus

Electric power consumption--Forecasting

Δημιουργός

Pieris, George

Πηγή

Higher Technical Institute

Το πλήρες κείμενο είναι διαθέσιμο από το Υπουργείο Ενέργειας, Εμπορίου Βιομηχανίας και Τουρισμού.

Εκδότης

Library of Cyprus University of Technology

Ημερομηνία

1999

Συνεισφέρων

Kassinopoulos, Marios

Stephanou, Ahilleas

Δικαιώματα

Απαγορεύεται η δημοσίευση ή αναπαραγωγή, ηλεκτρονική ή άλλη χωρίς τη γραπτή συγκατάθεση του δημιουργού και κάτοχου των πνευματικών δικαιωμάτων.

Μορφή

pdf

Γλώσσα

en

Τύπος

text

Αναγνωριστικό

EED0545

Σύνοψη

In this project we will see what methodologies are available at the Electricity Authority of Cyprus for long-term forecasting. After when this is done, we will attempt to forecast ourselves. The forecast will be done the same way as at E.AC, but this time we will produce also all the additional statistical data that are needed in order for someone if say with certainity if the attempted forecast is correctly performed and whether or not it will have results that will resemble the true ones (future true values of energy consumption). The results will be charted for better visual understanding.
The above work, as it has been mentioned before, will be made having in mind long-term data. Forecasting of energy is mainly, as we will see, based on the economic growth and population growth of a country. Therefore bearing these two factors in mind and by considering the historical data of energy consumed before, we can perform the forecast. When dealing with subjects like forecasting of energy you must have knowledge of what energy is, what are the ways for producing energy, how energy is transmitted etc. Therefore our objective also in this project is to search and provide this kind of information thus to be able to present a project that will be complete in the following sense: A reader of this project will be able to acquire a general background about electrical energy (this will also help in understanding the need for forecasting), identify the need for forecasting, learn about the several forecasting techniques, and finally be able to apply a forecast (this can he done using a commercial program called Excel). :
On appendix C there are information about what is the present situation of power generation at E.A.C and what is the authority doing to deal with the future requirements of the consumers.