Reference health

Photovoltaic Power Prediction Model Based on Improved Deep Learning

https://doi.org/10.2139/ssrn.3982279
CiteStamped reference-health badge
7/7 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.

24 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 7 checked references that resolve
resolves10.1109/TSG.2011.2158563
Optimal Operation by Controllable Loads Based on Smart Grid Topology Considering Insolation Forecasted Error
resolves10.1016/j.enconman.2014.12.050
A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation
resolves10.1109/TSTE.2013.2246591
Determination Method of Insolation Prediction With Fuzzy and Applying Neural Network for Long-Term Ahead PV Power Output Correction
resolves10.1016/j.solener.2013.10.002
A hybrid model (SARIMA–SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant
resolves10.1016/j.ijepes.2021.107563
Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults
resolves10.1109/ACCESS.2017.2779939
LSTM Fully Convolutional Networks for Time Series Classification
resolves10.1049/iet-its.2016.0208
LSTM network: a deep learning approach for short‐term traffic forecast
The 24 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref2
no DOI — not checkedA 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste
no DOI — not checkedHourly solar radiation forecasting using optimal coefficient 2-D linear filters and feed-forward neural networks
no DOI — not checkedref8
no DOI — not checkedOnline 24-h solar power forecasting based on weather type classification using artificial neural network
no DOI — not checkedUse of support vector regression and numerically predicted cloudiness to forecast power output of a photovoltaic power plant in Kitakyushu
no DOI — not checkedref12
no DOI — not checkedComprehensive Prediction of Generation Power in Photovoltaic Microgrid
no DOI — not checkedDeep distributed convolutional neural networks: Universality
no DOI — not checkedTemporal Convolutional Neural Networks for Solar Power Forecasting
no DOI — not checkedref16
no DOI — not checkedUniversality of deep convolutional neural networks
no DOI — not checkedref18
no DOI — not checkedref19
no DOI — not checkedConfirmed Cases with LSTM-based Framework
no DOI — not checkedTemporal Dependence-Based LSTM Networks for Marine Temperature Prediction
no DOI — not checkedref22
no DOI — not checkedMulti-task short-term reactive and active load forecasting method based on attention-LSTM model
no DOI — not checkedLong Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries
no DOI — not checkedref26
no DOI — not checkedLearning precise timing with LSTM recurrent networks
no DOI — not checkedShort-term traffic flow prediction based on 1DCNN-LSTM neural network structure. MODERN
no DOI — not checkedDeep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
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.3982279"><img src="https://citestamp.com/citestamped/10.2139/ssrn.3982279/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.2139/ssrn.3982279/badge.svg)](https://citestamp.com/citestamped/10.2139/ssrn.3982279)