Short-term energy forecasting for public educational institution

Author:

Zlatkova Aleksandra1,Velkovski Bodan1,Kokolanski Zivko1,Taskovski Dimitar1

Affiliation:

1. Ss Cyril and Methodius University in Skopje,Faculty of Electrical Engineering and Information Technologies,Skopje,North Macedonia

Publisher

IEEE

Reference26 articles.

1. Applying support vector machine to predic thourly cooling load in the building, Appl;li;Energy,2009

2. Forecasting power consumption for residential sector;zlatkova;Proceedings of ETAI,2021

3. A robust combination approach for short-term wind speed forecasting and analysis-Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme LearningMachine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model;wang;Energy,2015

4. SR. Huang Short-term load forecasting using threshold autoregressive models;Generation Transmission and Distribution IEE Proceedings,0

5. Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model

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