Regional energy demand and adaptations to climate change: Methodology and application to the state of Maryland, USA

By Matthias Ruth, A. Lin. 2006

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A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables (2015, background): “Average Degree Days and Adjustment Factors 209 Numerous studies have represented the temperature by using degree days [8], [15], [17], [20], [21], [23], as degree days can 210 represent linear relationship with the electricity demand.”
Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies (2015, background): “In addition, the growth in the demand and change in load patterns due to the weather and climate change [25-29], in combination with the population migration to areas most affected by the climate change or most prone to weather-related”
Indications for a changing electricity demand pattern: The temperature dependence of electricity demand in the Netherlands (2009, background): “Most studies investigating this relation assume a fixed balance temperature (Sailor and Mun ˜ oz, 1997; Sailor, 2001; Amato et al., 2005; Crowley and Joutz, 2005; Hadley et al., 2006; Ruth and Lin, 2006 ), mostly at 181C.”