Reference health
A new load forecasting model considering planned load shedding effect
10/10 checkable references clean · checked 2026-08-03
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.
8 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 10 checked references that resolve
resolves10.1016/j.procs.2015.04.160
A Review of Short Term Load Forecasting using Artificial Neural Network Models
resolves10.1109/TPWRS.2015.2390132
Neural Network-Based Model Design for Short-Term Load Forecast in Distribution Systems
resolves10.1016/j.egypro.2015.07.616
Short-term Forecasting of the Abu Dhabi Electricity Load Using Multiple Weather Variables
resolves10.1109/TSG.2013.2278425
Local Short and Middle Term Electricity Load Forecasting With Semi-Parametric Additive Models
resolves10.5120/15484-4263
Short Term Electric Load Forecasting based on Artificial Neural Networks for Weekends of Baghdad Power Grid
resolves10.5120/17492-8011
Short-Term Electrical Load Forecasting for Iraqi Power System based on Multiple Linear Regression Method
The 8 references without a DOI — listed, not checked
no DOI — not checkedElectricity load forecasting based on weather variables and seasonalities: a neural network approach
no DOI — not checkedShort term load forecasting of Eid Al Fitr holiday by using interval type-2 fuzzy inference system (Case study: electrical system of Java Bali in Indonesia)
no DOI — not checkedStatistical analysis of cost of energy due to electricity outages in developing countries
no DOI — not checkedDemand forecasting using fuzzy neural computation
no DOI — not checkedShort-term load forecasting methods: a review
no DOI — not checkedShort Term Load Forecasting in Electric Power Systems with Artificial Neural Networks
no DOI — not checkedA neuro-fuzzy approach to forecast the electricity demand
no DOI — not checkedVariable Selection Methods for Probabilistic Load Forecasting: empirical Evidence from Seven States of the United States
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 2026-08-03 — 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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