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Consumer behavior after the Brazilian power rationing in 2001
(2006-12-01)
In June 2001, after a dry period, the level of the water reservoirs in Brazil was below their operational levels. This situation, combined with other historical factors, led the country into a period of power rationing. ...
Consumer behavior after the Brazilian power rationing in 2001
(2006-12-01)
In June 2001, after a dry period, the level of the water reservoirs in Brazil was below their operational levels. This situation, combined with other historical factors, led the country into a period of power rationing. ...
Climate change and electricity demand in Brazil: a stochastic approach
(Pergamon-Elsevier Science Ltd, 2016-05-01)
We present a framework for incorporating weather uncertainty into electricity demand forecasting when weather patterns cannot be assumed to be stable, such as in climate change scenarios. This is done by first calibrating ...
An Improved Deep Learning Model for Electricity Price Forecasting
Accurate electricity price forecasting (EPF) is important for the purpose of bidding strategies and minimizing the risk for market participants in the competitive electricity market. Besides that, EPF becomes critically ...
Integrating artificial neural networks and cellular automata model for spatial-temporal load forecasting
(2023)
The long-term distribution planning should include an understanding of consumer behavior and needs to develop strategic expansion alternatives that meet the future demand. The magnitude of growth along with the place where ...
A comparison of LSTM and XGBoost for predicting firemen interventions
(2020-01-01)
In several areas of the world such as France, fire brigades are facing a constant increase in the number of their commitments, some of the main reasons are related to the growth and aging of the population and others to ...