Prediction of consumer electricity needs based on Internet weather forecasts

Artur Opaliński

Prediction of consumer electricity needs based on Internet weather forecasts

Abstract

Electrical energy is considered both as an important driver for producing and transporting goods in companies, as well as a good in itself which requires planning and management for generating and delivering it to consumers in proper time and amounts. Weather information can be considered to convey part of the data on energy delivery needs of consumers. Free meteorological data sources on the Web do not offer consistent data to automate energy consumption forecasts. The paper identifies and addresses these inconsistencies to provide for automatic data gathering and supply to a demand forecasting model.

Author (1)

Artur Opaliński dr inż.
- Faculty of Electrical and Control Engineering
- Gdańsk University of Technology

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Category:: Articles
Type:: artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:: Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej pages 131 - 134,
ISSN: 1425-5766
Language:: English
Publication year:: 2015
Bibliographic description:: Opaliński A.: Prediction of consumer electricity needs based on Internet weather forecasts// Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej. -., nr. 47 (2015), s.131-134
Verified by:: Gdańsk University of Technology