Demand-Side Management and Energy Efficiency in the United States

By David Loughran, Jonathan D. Kulick. 2004

261 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/131a22dabdf8d9b5baafeffe338f6ee7f5474399

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In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

A Partial Adjustment Model of U.S. Electricity Demand by Region, Season, and Sector (2009, background): “10 Loughran and Kulick (2004) look at the effects of energy efficiency spending on total electricity demand using utility-level data on energy efficiency expenditures.”
Energy Efficiency: Economics and Policy (2010, background): “Joskow and Marron (1992) or Loughran and Kulick (2004) found that reductions were lower than expected and costs higher than utilities’ estimates (although Aufhammer et al. (2008) revised Loughran and Kulick’s data and found that the utilities results could not be rejected).”
An economic welfare analysis of demand response in the PJM electricity market (2008, background): “Since the introduction of deregulation in the early 1990s, DSM investments by utilities have declined significantly, as utilities in restructured markets do not have financial incentives for investing in DSM in deregulated markets (Loughran and Kulick, 2004).”
Evaluating the evaluations: Evidence from energy efficiency programmes in Germany and the UK (2013, unknown): “Kreitler [32] estimates that free rider effects can reduce estimated savings by up to 80%, and Loughran and Kulick [76] estimate this at 50–90%.”
The 2012 State Energy Efficiency Scorecard (2019, background): “23 See Sciortino (2011). 24 This includes 44 states and the District of Columbia.”
A credible approach for measuring inframarginal participation in energy efficiency programs (2014, background): “Thereisalsoasmallliteraturewhichaddressesadditionality indirectly by comparing realized aggregate savings at the utility level to engineering estimates (Loughran and Kulick, 2004; Auffhammer et al., 2008; Arimura et al., 2012).”
Smart Meter Devices and The Effect of Feedback on Residential Electricity Consumption: Evidence from a Natural Experiment in Northern Ireland (2013, unknown): “See Loughran and Kulick (2004) and Auffhammer et al. (2008) who compute the cost per kWh saved by DSM programs in the US in the 1990s.”
Demand-Side Management and Energy Efficiency Revisited (2008, background): “1 A more recent paper by Loughran and Kulick (2004) has refueled this debate.”