Reference health

Solar Power Production Forecasting with Solar Irradiance Estimated by Similar Days: A Case Study in Taiwan

https://doi.org/10.2139/ssrn.4177705
CiteStamped reference-health badge
25/25 checkable references clean · checked 2026-07-23

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.

17 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 25 checked references that resolve
resolves10.1016/j.solener.2016.06.069
Review of photovoltaic power forecasting
resolves10.1016/j.pecs.2018.10.003
A current perspective on the accuracy of incoming solar energy forecasting
resolves10.1016/j.solener.2011.08.027
Online 24-h solar power forecasting based on weather type classification using artificial neural network
resolves10.1038/nenergy.2017.140
The underestimated potential of solar energy to mitigate climate change
resolves10.1109/SMC.2016.7844673
Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks
resolves10.1109/TSTE.2017.2762435
Day-Ahead Hourly Forecasting of Power Generation From Photovoltaic Plants
resolves10.1049/iet-gtd.2015.0175
One‐day‐ahead hourly forecasting for photovoltaic power generation using an intelligent method with weather‐based forecasting models
resolves10.1016/S0038-092X(02)00045-2
A new airmass independent formulation for the Linke turbidity coefficient
resolves10.1109/ACCESS.2018.2883330
Forecasting Solar Power Using Long-Short Term Memory and Convolutional Neural Networks
resolves10.1016/j.apenergy.2018.06.112
Prediction of short-term PV power output and uncertainty analysis
resolves10.1109/JSTARS.2009.2020300
Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems
resolves10.1016/j.procs.2012.09.080
Forecasting Power Output of Solar Photovoltaic System Using Wavelet Transform and Artificial Intelligence Techniques
resolves10.1016/j.solener.2014.03.018
Short-term forecasting of power production in a large-scale photovoltaic plant
resolves10.1038/nenergy.2017.134
The climate and air-quality benefits of wind and solar power in the United States
resolves10.1016/j.solener.2012.04.004
Assessment of forecasting techniques for solar power production with no exogenous inputs
resolves10.1115/1.4034823
Deterministic and Stochastic Approaches for Day-Ahead Solar Power Forecasting
resolves10.1016/j.rser.2019.109388
Mitigating the current energy crisis in Nepal with renewable energy sources
resolves10.1016/j.renene.2019.12.131
Time series forecasting of solar power generation for large-scale photovoltaic plants
resolves10.1109/TIA.2012.2190816
Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines
resolves10.1016/j.enconman.2020.112766
A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
resolves10.1016/j.enconman.2018.11.074
Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting
resolves10.1109/TSTE.2014.2313600
A Weather-Based Hybrid Method for 1-Day Ahead Hourly Forecasting of PV Power Output
resolves10.1016/j.renene.2020.05.134
A novel non-iterative correction method for short-term photovoltaic power forecasting
resolves10.1016/j.solener.2013.12.006
A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production, part I: Deterministic forecast of hourly production
resolves10.1109/TSG.2015.2397003
Day-Ahead Power Output Forecasting for Small-Scale Solar Photovoltaic Electricity Generators
The 17 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref2
no DOI — not checkedHourly Solar Irradiance Prediction Based on Support Vector Machine and Its Error Analysis
no DOI — not checkedref7
no DOI — not checkedref9
no DOI — not checkedref10
no DOI — not checkedPhotovoltaic Power Forecasting Based on EEMD and a Variable-Weight Combination Forecasting Model
no DOI — not checkedref16
no DOI — not checkedA hybrid deep learning model for short-term PV power forecasting
no DOI — not checkedref21
no DOI — not checkedImplications of geographic diversity for short-term variability and predictability of solar power
no DOI — not checkedPhotovoltaic power forecasting based on a support vector machine with improved ant colony optimization
no DOI — not checkedShort term photovoltaic power generation forecasting using neural network
no DOI — not checkedref33
no DOI — not checkedSparse Bayesian Learning and the Relevance Vector Machine
no DOI — not checkedThe Designing of Establishing Modeling Simulation and Forecasting Methods for Short-term Solar Irradiance Based on Timescale
no DOI — not checkedref42
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 2026-07-23 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.2139/ssrn.4177705"><img src="https://citestamp.com/citestamped/10.2139/ssrn.4177705/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.2139/ssrn.4177705/badge.svg)](https://citestamp.com/citestamped/10.2139/ssrn.4177705)