Temperature and seasonality influences on Spanish electricity load

By Ángel Pardo, V. Meneu, Enric Valor. 2002

374 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/ebb29f25727144f80a0c687439f9af1481a96a80

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In Electrical and Electronic Engineering

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Citations in the corpus

Probabilistic forecasts of the magnitude and timing of peak electricity demand (2005, background): “Digital Object Identifier 10.1109/TPWRS.2005.846071 [5], exponential smoothing [6], Bayesian statistics [7], [8], time-varying splines [9], neural networks [10], [11], decomposition techniques [12]–[14], transfer functions [15], grey dynamic models [16], and judgmental forecasting [17].”
Direct load control of residential water heaters (2009, methodology): “…pattern, that often is assumed caused by the lifestyle of the households, can be modelled using dummy variables (Granger et al., 1979; Pardo et al., 2002) or trigonometric terms (Al-Zayer and Al-Ibrahim, 1996; Granger et al., 1979), or by the use of splines (Hendricks et al., 1979;…”
Residential electricity demand in Spain: New empirical evidence using aggregate data (2013, background): “There is no unique definition of the values of the “threshold” or comfort temperatures, generally set to 18°C (e.g., Pardo et al. 2002; Valor et al. 2001; Alberini and Filippini, 2011).”
Greek long-term energy consumption prediction using artificial neural networks (2010, background): “Multiple linear regression analysis models for long-term prediction have reported in [4], while such models have extensively used in several prediction problems, since they have presented very good results [5-8].”
Spot Price Modeling and the Valuation of Electricity Forward Contracts: The Role of Demand and Capacity (2007, neutral): “However, on short-time scales, electricity demand usually depends non-linearly on temperature (see Pardo, Meneu, and Valor (2002)) which makes volatility of demand very sensitive to short-term weather variations; an effect which is exacerbated during periods of already high demand.”
Indications for a changing electricity demand pattern: The temperature dependence of electricity demand in the Netherlands (2009, background): “As mentioned before, the relation between electricity demand and temperature is usually found to be ‘u’ shaped (Nobel, 1996; Valor et al., 2001; Pardo et al., 2002; Moral-Carcedo and Vice ´ ns-Otero, 2005; Mirasgedis et al., 2007).”
Modeling Longitudinal Data Using a Pair-Copula Decomposition of Serial Dependence (2010, neutral): “variation (Pardo et al. 2002).”
Stochastic factor model for electricity spot price - the case of the Nordic market (2005, background): “For details in climate related models see e.g. Skirkanthan and McMahon (2001) and references therein and for modeling of electricity load see e.g. Bunn and Farmer (1985), or more recently Pardo et al. (2002).”
The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach (2008, background): “1”