Identifying and estimating the effects of a mandatory billing demand charge

  title={Identifying and estimating the effects of a mandatory billing demand charge},
  author={Isak {\"O}hrlund and M{\aa}rten Schultzberg and Cajsa Bartusch},
  journal={Applied Energy},

Using high frequency pre-treatment outcomes to identify causal effects in non-experimental data : Causal effects in non-experimental data

In observational studies it is common to use matching strategies to consistently estimate the average treatment effect of the treated (ATET) under the unconfoundedness assumption of the outcome and the matching strategies used are found to be effective.

Environmental Flow Scenarios for a Regulated River System: Projecting Catchment‐Wide Ecosystem Benefits and Consequences for Hydroelectric Production

To enable prioritization among measures for ecological restoration, knowing the expected benefits and consequences of implementation is imperative but rarely explicitly quantified. We developed a

Comparison of Models for the Analysis of Intensive Longitudinal Data

We discuss the differences between several intensive longitudinal data models. The dynamic structural equation model (DSEM), the residual dynamic structural equation model (RDSEM) and the repeated



A Residential Demand Charge: Evidence from the Duke Power Time-of-Day Pricing Experiment

Demand charges account for one-third to one-half of industrial and commercial electricity bills, and yet they have been virtually ignored, both theoretically and practically, as a component of

An analysis of a demand charge electricity grid tariff in the residential sector

This paper analyzes the demand response from residential electricity consumers to a demand charge grid tariff. The tariff charges the maximum hourly peak consumption in each of the winter months Dec,