Bayesian Modeling and Forecasting of Intraday Electricity Load

By Remy Cottet, Michael Smith. 2003

141 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/4613c5f77f3eb497c0498175284385e04b66461c

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In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data (2008, methodology): “…adopt the same strategy as Fiebig, Bartels, and Aigner (1991), Peirson and Henley (1994), Ramanathan, Engle, Granger, Vahid-Arahi, and Brace (1997), Cottet and Smith (2003), and Soares and Souza (2006), treating each hour as a separate time series, such that 24 different models are estimated, one…”
Mixed Models for Short-Run Forecasting of Electricity Prices: Application for the Spanish Market (2007, methodology): “into account not only the past values of the price in the hour for which we are forecasting, but also past values of the price in the adjacent hours, or including explanatory variables such as demand or temperature using the methodology developed in Cottet and Smith [17] or in Nogales and Conejo [12”
Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing (2009, background): “Keywords: Forecasting; Time Series; Exponential smoothing; Electricity load; Call centre arrivals”
An Hourly Periodic State Space Model for Modelling French National Electricity Load (2008, methodology): “In a model for the New South Wales electricity load Cottet & Smith (2003) also used a multi-equation approach to capture the intradaily pattern and developed long and short-term forecast models within a Bayesian framework, but they assumed a diagonal vector autoregressive structure for the error…”
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).”
An evaluation of methods for very short-term load forecasting using minute-by-minute British data (2008, background): “Cottet and Smith (2003) and Dordonnat et al. (2008) develop this approach by accommodating the dependencies between the hourly loads and estimating simultaneously the equations for each hour of the day.”