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Quantile Regression for Peak Demand Forecasting

https://doi.org/10.2139/ssrn.2485657
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15/15 checkable references clean · checked 2026-08-27

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

4 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 15 checked references that resolve
resolves10.1002/we.107
Probabilistic wind power forecasts using local quantile regression
resolves10.5547/01956574.37.1.dbun
Analysis and Forecasting of Electricity Price Risks with Quantile Factor Models
resolves10.1080/01621459.2016.1219259
Forecasting Generalized Quantiles of Electricity Demand: A Functional Data Approach
resolves10.1017/cbo9780511802843
Bootstrap Methods and their Application
resolves10.1080/01621459.1992.10475175
Hierarchical Spline Models for Conditional Quantiles and the Demand for Electricity
resolves10.1109/tpwrs.2009.2036017
Density Forecasting for Long-Term Peak Electricity Demand
resolves10.1016/j.ijforecast.2006.03.001
Another look at measures of forecast accuracy
resolves10.1016/j.rser.2004.09.004
A review of energy models
resolves10.3390/en7095523
Predictive Densities for Day-Ahead Electricity Prices Using Time-Adaptive Quantile Regression
resolves10.1016/j.enpol.2010.06.028
Understanding the spectrum of residential energy consumption: A quantile regression approach
resolves10.2307/1913643
Regression Quantiles
resolves10.1257/jep.15.4.143
Quantile Regression
resolves10.1175/jtech-d-11-00103.1
An Overview of the Global Historical Climatology Network-Daily Database
resolves10.1007/s00484-012-0584-0
Forecasting peak asthma admissions in London: an application of quantile regression models
resolves10.1016/j.rser.2011.08.014
Energy models for demand forecasting—A review
The 4 references without a DOI — listed, not checked
no DOI — not checkedref5
no DOI — not checkedref9
no DOI — not checkedResource Adequacy Planning Department
no DOI — not checkedForecasting the impact of generation mix on wholesale electricity prices in Australia
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-08-27 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

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