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## Multivariate Short-term Load Forecasting Using Deep Learning Algorithms

#### Duygu ALTUNKAYA [1] , Burak YILMAZ [2]

Load forecasting is important in energy market. In fact electricity is a type of energy that cannot be stored, thus it is more important in electrical energy. The facilities need to balance between electricity generation and consumption by making plans. Computer-aided forecasting models are developed to reduce the effects of factors that disrupt this supply-demand balance. Generally, daily, weekly and monthly forecasts are made in demand forecast. In this study, hourly demand estimation is made. By using the past 24-hour consumption data and weather data such as temperature, humidity, wind speed and radiation in Konya, the next hour's consumption value was tried to forecast. Forecasting models were created using deep learning algorithms such as RNN, LSTM and GRU and the most successful model was determined by comparing the models.
Load forecasting, Deep learning, Time series, Consumption of electricity, Short-term
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Birincil Dil en Mühendislik Makaleler Yazar: Duygu ALTUNKAYAKurum: Konya Food and Agriculture UniversityÜlke: Turkey Yazar: Burak YILMAZKurum: Konya Food and Agriculture UniversityÜlke: Turkey Yayımlanma Tarihi : 31 Aralık 2020
 Bibtex @konferans bildirisi { epstem836146, journal = {The Eurasia Proceedings of Science Technology Engineering and Mathematics}, issn = {}, eissn = {2602-3199}, address = {isresoffice@gmail.com}, publisher = {ISRES Organizasyon Turizm Eğitim Danışmanlık Ltd. Şti.}, year = {2020}, volume = {11}, pages = {14 - 19}, doi = {}, title = {Multivariate Short-term Load Forecasting Using Deep Learning Algorithms}, key = {cite}, author = {Altunkaya, Duygu and Yılmaz, Burak} } APA Altunkaya, D , Yılmaz, B . (2020). Multivariate Short-term Load Forecasting Using Deep Learning Algorithms . The Eurasia Proceedings of Science Technology Engineering and Mathematics , 11 , 14-19 . Retrieved from https://dergipark.org.tr/tr/pub/epstem/issue/58065/836146 MLA Altunkaya, D , Yılmaz, B . "Multivariate Short-term Load Forecasting Using Deep Learning Algorithms" . The Eurasia Proceedings of Science Technology Engineering and Mathematics 11 (2020 ): 14-19 Chicago Altunkaya, D , Yılmaz, B . "Multivariate Short-term Load Forecasting Using Deep Learning Algorithms". The Eurasia Proceedings of Science Technology Engineering and Mathematics 11 (2020 ): 14-19 RIS TY - JOUR T1 - Multivariate Short-term Load Forecasting Using Deep Learning Algorithms AU - Duygu Altunkaya , Burak Yılmaz Y1 - 2020 PY - 2020 N1 - DO - T2 - The Eurasia Proceedings of Science Technology Engineering and Mathematics JF - Journal JO - JOR SP - 14 EP - 19 VL - 11 IS - SN - -2602-3199 M3 - UR - Y2 - 2020 ER - EndNote %0 The Eurasia Proceedings of Science Technology Engineering and Mathematics Multivariate Short-term Load Forecasting Using Deep Learning Algorithms %A Duygu Altunkaya , Burak Yılmaz %T Multivariate Short-term Load Forecasting Using Deep Learning Algorithms %D 2020 %J The Eurasia Proceedings of Science Technology Engineering and Mathematics %P -2602-3199 %V 11 %N %R %U ISNAD Altunkaya, Duygu , Yılmaz, Burak . "Multivariate Short-term Load Forecasting Using Deep Learning Algorithms". The Eurasia Proceedings of Science Technology Engineering and Mathematics 11 / (Aralık 2020): 14-19 . AMA Altunkaya D , Yılmaz B . Multivariate Short-term Load Forecasting Using Deep Learning Algorithms. EPSTEM. 2020; 11: 14-19. Vancouver Altunkaya D , Yılmaz B . Multivariate Short-term Load Forecasting Using Deep Learning Algorithms. The Eurasia Proceedings of Science Technology Engineering and Mathematics. 2020; 11: 14-19. IEEE D. Altunkaya ve B. Yılmaz , "Multivariate Short-term Load Forecasting Using Deep Learning Algorithms", The Eurasia Proceedings of Science Technology Engineering and Mathematics, c. 11, ss. 14-19, Ara. 2021

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