Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data

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Triple seasonal methods for short-term electricity demand forecasting (2010, methodology): “Of course, such methods are the only option when forecasting load in locations where weather forecasts are either unavailable or too costly (Soares and Medeiros, 2008).”
Prediction intervals in conditionally heteroscedastic time series with stochastic components (2011, background): “For example, Doornik and Ooms (2008) model UK prices and Soares and Medeiros (2008) model hourly electricity loads by estimating a GARCH model, after removing the trend by taking differences.”
Modeling Longitudinal Data Using a Pair-Copula Decomposition of Serial Dependence (2010, unknown): “A time-varying Markov structure is identified that is inline with that used in the energy forecasting literature (Cottet and Smith 2003; Soares and Medeiros 2008).”
Short-Term Forecasting of Anomalous Load Using Rule-Based Triple Seasonal Methods (2013, background): “In situations where an insufficient number of observations are available, a special day has been treated as another special day type by [5] and [6], while different special days have often been classified as being the same [7]–[9].”
An evaluation of methods for very short-term load forecasting using minute-by-minute British data (2008, methodology): “In the load forecasting study of Soares and Medeiros (2008), a separate model is fitted for each hour of the day.”