On the public citation graph

A Multi-Step-Ahead Photovoltaic Power Forecasting Approach Using One-Dimensional Convolutional Neural Networks and Transformer

https://doi.org/10.3390/electronics13112007

0 signed · 57 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.apenergy.2018.06.112openalex-snapshot

Prediction of short-term PV power output and uncertainty analysis

inferredcites →https://doi.org/10.1016/j.apenergy.2019.113315openalex-snapshot

A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

inferredcites →https://doi.org/10.1016/j.apenergy.2021.117291openalex-snapshot

Forecasting and uncertainty analysis of day-ahead photovoltaic power using a novel forecasting method

inferredcites →https://doi.org/10.1016/j.apenergy.2021.117410openalex-snapshot

SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting

inferredcites →https://doi.org/10.1016/j.egyr.2021.10.125openalex-snapshot

Evaluating neural network and linear regression photovoltaic power forecasting models based on different input methods

inferredcites →https://doi.org/10.1016/j.egyr.2022.08.009openalex-snapshot

Towards efficient and effective renewable energy prediction via deep learning

inferredcites →https://doi.org/10.1016/j.egyr.2022.11.208openalex-snapshot

Trends and gaps in photovoltaic power forecasting with machine learning

inferredcites →https://doi.org/10.1016/j.enbuild.2019.04.034openalex-snapshot

Recurrent inception convolution neural network for multi short-term load forecasting

inferredcites →https://doi.org/10.1016/j.enconman.2014.05.090openalex-snapshot

A methodology based on dynamic artificial neural network for short-term forecasting of the power output of a PV generator

inferredcites →https://doi.org/10.1016/j.energy.2019.116225openalex-snapshot

Photovoltaic power forecasting based LSTM-Convolutional Network

inferredcites →https://doi.org/10.1016/j.energy.2021.121510openalex-snapshot

Photovoltaics advancements for transition from renewable to clean energy

inferredcites →https://doi.org/10.1016/j.engappai.2023.105964openalex-snapshot

Time-series anomaly detection with stacked Transformer representations and 1D convolutional network

inferredcites →https://doi.org/10.1016/j.ins.2021.04.053openalex-snapshot

RTFN: A robust temporal feature network for time series classification

inferredcites →https://doi.org/10.1016/j.jclepro.2020.122167openalex-snapshot

Forecast modeling and performance assessment of solar PV systems

inferredcites →https://doi.org/10.1016/j.jhydrol.2022.127764openalex-snapshot

Effective improvement of multi-step-ahead flood forecasting accuracy through encoder-decoder with an exogenous input structure

inferredcites →https://doi.org/10.1016/j.neucom.2022.04.111openalex-snapshot

A Time Series Transformer based method for the rotating machinery fault diagnosis

inferredcites →https://doi.org/10.1016/j.renene.2015.06.061openalex-snapshot

An artificial neural network to assess the impact of neighbouring photovoltaic systems in power forecasting in Utrecht, the Netherlands

inferredcites →https://doi.org/10.1016/j.seta.2020.100670openalex-snapshot

A non-linear auto-regressive exogenous method to forecast the photovoltaic power output

inferredcites →https://doi.org/10.1016/j.solener.2011.08.027openalex-snapshot

Online 24-h solar power forecasting based on weather type classification using artificial neural network

inferredcites →https://doi.org/10.1016/j.solener.2016.06.069openalex-snapshot

Review of photovoltaic power forecasting

inferredcites →https://doi.org/10.1016/j.solener.2020.06.097openalex-snapshot

Review of power system impacts at high PV penetration Part I: Factors limiting PV penetration

inferredcites →https://doi.org/10.1016/j.solener.2021.04.004openalex-snapshot

Photovoltaic output power performance assessment and forecasting: Impact of meteorological variables

inferredcites →https://doi.org/10.1109/tste.2014.2313600openalex-snapshot

A Weather-Based Hybrid Method for 1-Day Ahead Hourly Forecasting of PV Power Output

inferredcites →https://doi.org/10.1155/2021/3981456openalex-snapshot

A Short-Term Solar Photovoltaic Power Optimized Prediction Interval Model Based on FOS-ELM Algorithm

inferredcites →https://doi.org/10.1155/2021/6777488openalex-snapshot

Forecasting of Energy Production for Photovoltaic Systems Based on ARIMA and ANN Advanced Models

inferredcites →https://doi.org/10.1155/2022/7040601openalex-snapshot

A Hybrid Deep Learning‐Based Network for Photovoltaic Power Forecasting

inferredcites →https://doi.org/10.21437/interspeech.2019-3045openalex-snapshot

Adapting Transformer to End-to-End Spoken Language Translation

inferredcites →https://doi.org/10.3390/app8050689openalex-snapshot

A Short-Term Photovoltaic Power Prediction Model Based on the Gradient Boost Decision Tree

inferredcites →https://doi.org/10.3390/atmos12010124openalex-snapshot

Solar Photovoltaic Forecasting of Power Output Using LSTM Networks

inferredcites →https://doi.org/10.3390/electronics13091659openalex-snapshot

Two-Stage Neural Network Optimization for Robust Solar Photovoltaic Forecasting

inferredcites →https://doi.org/10.3390/en10070876openalex-snapshot

SVR-Based Model to Forecast PV Power Generation under Different Weather Conditions

inferredcites →https://doi.org/10.3390/en13040886openalex-snapshot

Solving the Cold-Start Problem in Short-Term Load Forecasting Using Tree-Based Methods

inferredcites →https://doi.org/10.3390/en15093320openalex-snapshot

Completed Review of Various Solar Power Forecasting Techniques Considering Different Viewpoints

inferredcites →https://doi.org/10.3390/en15114171openalex-snapshot

Short-Term PV Power Forecasting Using a Regression-Based Ensemble Method

inferredcites →https://doi.org/10.3390/s20061772openalex-snapshot

Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation

inferredcites →https://doi.org/10.3390/systems11090456openalex-snapshot

BiGTA-Net: A Hybrid Deep Learning-Based Electrical Energy Forecasting Model for Building Energy Management Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-96-2468-3_32openalex-snapshot

Short-Term Photovoltaic Power Forecasting Based on VMD-KPCA-LSTM

inferred← citeshttps://doi.org/10.1007/s12273-025-1336-5openalex-snapshot

A short-term time-series prediction approach for photovoltaic power generation in residential energy systems

inferred← citeshttps://doi.org/10.1016/j.apenergy.2025.125848openalex-snapshot

SolarNexus: A deep learning framework for adaptive photovoltaic power generation forecasting and scalable management

inferred← citeshttps://doi.org/10.1016/j.enconman.2026.121358openalex-snapshot

Photovoltaic power forecasting under atypical operating conditions validated by explainable artificial intelligence

inferred← citeshttps://doi.org/10.1016/j.ijhydene.2026.154147openalex-snapshot

Forecasting the future of clean energy investment: A thorough optimization and comparative analysis of AI-based sequence models for volatile fuel cell stock dynamics

inferred← citeshttps://doi.org/10.1016/j.renene.2025.124062openalex-snapshot

Effectiveness of un-decimated wavelet transform in time-series forecasting: A PV power calculation case study in BTU

inferred← citeshttps://doi.org/10.1038/s41598-025-90654-4openalex-snapshot

Novel model for medium to long term photovoltaic power prediction using interactive feature trend transformer

inferred← citeshttps://doi.org/10.1038/s41598-026-39797-6openalex-snapshot

Interpretable ultra-short-term photovoltaic power forecasting with multi-scale temporal modeling and variable-wise attention

inferred← citeshttps://doi.org/10.1109/iceece71300.2026.11709957openalex-snapshot

Hourly Photovoltaic Energy Forecasting in Equatorial Indonesia Using 1D Convolutional Neural Networks and NASA POWER Reanalysis Data

inferred← citeshttps://doi.org/10.1109/icepg67373.2025.11466823openalex-snapshot

Photovoltaic Power Prediction Based on IHOA Optimization of VMD and TCN-LSTM Models

inferred← citeshttps://doi.org/10.1109/ict-pep67281.2025.11232081openalex-snapshot

Predictive Modeling of Solar PV Output in Nusa Penida Hybrid Solar Power Plant Using Random Forest and Artificial Neural Networks

inferred← citeshttps://doi.org/10.3389/fenrg.2026.1730179openalex-snapshot

Enhanced day-ahead multi-step PV power forecasting using informer-ensemble learning

inferred← citeshttps://doi.org/10.3390/app14156396openalex-snapshot

Analyzing the Impact of Volatile Electricity Prices on Solar Energy Capture Rates in Central Europe: A Comparative Study

inferred← citeshttps://doi.org/10.3390/diagnostics14222504openalex-snapshot

Reliable Autism Spectrum Disorder Diagnosis for Pediatrics Using Machine Learning and Explainable AI

inferred← citeshttps://doi.org/10.3390/electronics14203981openalex-snapshot

Transformer with Adaptive Sparse Self-Attention for Short-Term Photovoltaic Power Generation Forecasting

inferred← citeshttps://doi.org/10.3390/electronics15010178openalex-snapshot

PatchConvFormer: A Patch-Based and Convolution-Augmented Transformer for Periodic Metro Energy Consumption Forecasting

inferred← citeshttps://doi.org/10.3390/electronics15091817openalex-snapshot

Regional Short-Term PV Power Forecasting Based on Graph Convolution and Transformer Networks

inferred← citeshttps://doi.org/10.3390/electronics15194346openalex-snapshot

Ultra-Short-Term Distributed PV Power Forecasting Based on Correlation Sparse Modeling and Uncertainty Pattern Forecasting

inferred← citeshttps://doi.org/10.3390/en17163958openalex-snapshot

A Parallel Prediction Model for Photovoltaic Power Using Multi-Level Attention and Similar Day Clustering

inferred← citeshttps://doi.org/10.3390/en18102434openalex-snapshot

A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder

inferred← citeshttps://doi.org/10.3390/math14193470openalex-snapshot

MUFASA: Multi-Expert Unified Forecasting Architecture with Simplex Aggregation for Multi-Step Hourly Solar Irradiation Forecasting

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.