Forecasting Electric Load Demand through Advanced Statistical Techniques

Forecasting Electric Load Demand through Advanced Statistical Techniques

Traditional forecasting models have been widely used for decision-making in production, finance and energy. Such is the case of the ARIMA models, developed in the 1970s by George Box and Gwilym Jenkins [1], which incorporate characteristics of the past models of the same series, according to their a...

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Bibliographic Details
Main Authors: Silva, Jesús, Senior Naveda, Alexa, García Guliany, Jesús, Niebles Núẽz, William, Hernández Palma, Hugo
Format: Article
Language:English
Published: Institute of Physics Publishing 2020
Subjects:
Bayesian networks
Decision making
Bayesian methods
Colombia
Electric load demands
Forecasting models
Statistical techniques
Electric load forecasting
Online Access:http://hdl.handle.net/10757/652142

Internet

http://hdl.handle.net/10757/652142

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