Forecasting Electricity Demand in Greece: A Functional Data Approach in High Dimensional Hourly Time Series

This paper presents a novel approach to forecasting electricity demand in Greece by employing functional data analysis to analyze power consumption. Unlike traditional methods that predict a single future point, this approach forecasts a curve representing daily power consumption. This functional ob...

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Veröffentlicht in:	SN computer science 2024-06, Vol.5 (5), p.566, Article 566
Hauptverfasser:	Varelas, George, Tzimas, Giannis, Alefragis, Panayiotis
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Alternative energy sources Autoregressive models Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data analysis Data Structures and Information Theory Decision making Electric power demand Electricity Electricity distribution Energy consumption Energy resources Forecasting Forecasting techniques Fossil fuels Information Systems and Communication Service Literature reviews Machine learning Metabolism Neural networks Original Research Pattern Recognition and Graphics Power consumption Renewable resources Software Engineering/Programming and Operating Systems Statistical analysis Supply & demand Support vector machines Time series Trends Vision
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