Household Electricity Demand, Revisited

By Peter C. Reiss, Matthew W. White. 2005

598 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/2d069208d55ac57118265969714f38a187379233

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In Electrical and Electronic Engineering

1. Xiao-Jun Zeng
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In Renewable Energy, Sustainability and the Environment

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Citations in the corpus

• The price elasticity of electricity demand in South Australia (2011, unknown): “nonlinear structure of tariff schedules and aggregation of metered consumption behaviour over time and appliances also introduce complex simultaneity problems between marginal prices and consumption (Reiss and White, 2005).”
• A Conjoint Approach to Multipart Pricing (2008, background): “I j J= …1 2Our model can be generalized to situations in which the pricing scheme has a multipart (more than two), increasing-block structure—that is, a pricing scheme in which the per-unit price increases with increasing consumption (see Reiss and White 2005).”
• Residential Consumption of Gas and Electricity in the U.S.: The Role of Prices and Income (2011, unknown): “Reiss and White (2005) focus on the California households in the Residential Energy Consumption Survey (RECS), match each household with the block pricing structure applied by the utility that serves the area, and estimate a model of choice of block and consumption levels by GMM.”
• Procurement Contracting With Time Incentives: Theory and Evidence (2011, unknown): “…moves from “early” to “late”, which produce a mass of on time completions, as seen in Figure 6.10 The first order conditions must satisfy: −c′(d; θ) = 0 if d < dE (6) −c′(d; θ) = cD if d > dE (7) 0 < −c′(d; θ) < cD if d = dE (8) 10A similar econometric approach was taken in Reiss and White (2005).”
• Consumer End-Use Energy Efficiency and Rebound Effects (2014, unknown): “Secure Future Dana Cordell and Stuart White 161 Tropical Intraseasonal Modes of the Atmosphere Yolande L. Serra, Xianan Jiang, Baijun Tian, Jorge Amador-Astua, Eric D. Maloney, and George N. Kiladis 189”
• Durable goods and long-run electricity demand: : Evidence from air conditioner purchase behavior (2014, background): “Either they limit the geographic scope of the study in order to obtain actual block-rate schedules (as in Reiss and White, 2005), or they assume that to that extent consumers respond to price, they do so to average price, not marginal.”
• The Economic Effects of Energy Price Shocks (2007, unknown): “Using a structural model, Reiss and White (2005) arrive at an estimate of the short-run price elasticity of electricity demand of -0.39.”
• Simulating the impacts of climate change, prices and population on California’s residential electricity consumption (2011, unknown): “For later simulation we will rely on the income specific price elasticities provided by Reiss and White (2005), who used a smaller sample of more detailed data based on the national level RECS survey.”
• Durable goods and residential demand for energy and water: evidence from a field trial (2008, unknown): “0910 and Renwick et al. (1998) find a price elasticity for residential water use of ?.16. One explanation for these larger elasticities is that previous studies typically examine consumption from all end uses, and many household production processes, such as outdoor water consumption and electric he”
• Residential energy use and conservation: Economics and demographics (2012, unknown): “These models provided a framework which helped explain the interaction between household composition and energy demand (Reiss and White, 2005), changes in residential electricity demand following energy shocks (Reiss and White, 2008), and the energy consumption of households in relation to…”
• Real Time Pricing and Electricity Markets (2009, unknown): “Reiss and White (2005), for example, examine increasing block pricing, under which the marginal price increases by the total quantity consumed.”
• Measuring Fuel Poverty: General Considerations and Application to German Household Data (2013, unknown): “On the households level, electricity demand is dependent on the household’s appliances stock which is dependent on income according to Reiss and White (2005).”
• Climate Adaptive Response Estimation: Short And Long Run Impacts Of Climate Change On Residential Electricity and Natural Gas Consumption Using Big Data (2018, unknown): “Identifying the price elasticity of demand in this setting is problematic, and a variety of approaches have been proposed (e.g., Hanemann 1984; Reiss and White 2005; Ito, 2014).”
• Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments (2010, unknown): “In IBR pricing, the marginal price increases by the total quantity consumed [16].”