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Very Short-Term Solar Power Forecasting Using Genetic Algorithm Based Deep Neural Network

https://doi.org/10.1109/incit.2019.8912097

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What this work says

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

inferredcites →https://doi.org/10.1016/j.enbuild.2012.08.011openalex-snapshot

Short-term prediction of photovoltaic energy generation by intelligent approach

inferredcites →https://doi.org/10.1016/j.renene.2012.01.108openalex-snapshot

Short-term power forecasting system for photovoltaic plants

inferredcites →https://doi.org/10.1016/j.solener.2009.05.016openalex-snapshot

Online short-term solar power forecasting

inferredcites →https://doi.org/10.1080/02522667.2019.1580880openalex-snapshot

A novel GA-ANFIS hybrid model for short-term solar PV power forecasting in Indian electricity market

inferredcites →https://doi.org/10.1109/cimca.2005.1631619openalex-snapshot

Comparison of Performance between Different Selection Strategies on Simple Genetic Algorithms

inferredcites →https://doi.org/10.1109/icamechs.2014.6911608openalex-snapshot

Distributed PV power forecasting using genetic algorithm based neural network approach

inferredcites →https://doi.org/10.1109/tnnls.2016.2582924openalex-snapshot

LSTM: A Search Space Odyssey

inferredcites →https://doi.org/10.1145/2330784.2330799openalex-snapshot

DEAP

inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

inferredcites →https://doi.org/10.48550/arxiv.1406.1078openalex-snapshot

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

What points at this work

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

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A Hybrid Model Combining Similar Day Selection, Sequence Decomposition, Hyperparameter Optimization and Intelligent Prediction for Photovoltaic Power Forecasting

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A hybrid temporal convolutional network and Prophet model for power load forecasting

inferred← citeshttps://doi.org/10.1016/j.apenergy.2021.118185openalex-snapshot

A hybrid deep learning method for an hour ahead power output forecasting of three different photovoltaic systems

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Behavioral model construction of architectural heritage for digital twin

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Artificial Neural Networks for Photovoltaic Power Forecasting: A Review of Five Promising Models

inferred← citeshttps://doi.org/10.1109/cec45853.2021.9504875openalex-snapshot

Solar Irradiance Forecasting in Tropical Weather using an Evolutionary Lean Neural Network

inferred← citeshttps://doi.org/10.1109/pesgre52268.2022.9715927openalex-snapshot

Coordinated Control of DC-Nanogrid Cluster

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Hybrid Deep Learning Models for Power Output Forecasting of Grid‐Connected Solar PV Systems: A Monocrystalline and Polycrystalline PV Panel Analysis

inferred← citeshttps://doi.org/10.17798/bitlisfen.1581731openalex-snapshot

Very Short-Term Solar Power Forecasting Using Hybrid LSTM-SVM

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Short-Term Photovoltaic Power Forecasting Based on Data Preprocessing, Series Decomposition, Hyperparameter Optimization and Deep Learning

inferred← citeshttps://doi.org/10.31577/cai_2021_1_29openalex-snapshot

Big Data Analytics for Energy Consumption Prediction in Smart Grid Using Genetic Algorithm and Long Short Term Memory

inferred← citeshttps://doi.org/10.3390/atmos17090842openalex-snapshot

A Similarity-Enhanced Transformer-LSTM Framework with IPOA for Short-Term Photovoltaic Power Forecasting

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The Seismic Background Noise Monitoring and Intelligent Prediction of the Cave Temple Cultural Heritage—A Case Study of Yungang Grottoes

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Hybrid AI Models for Short-Term Photovoltaic Forecasting: A Systematic Review of Architectures, Performance, and Deployment Challenges

inferred← citeshttps://doi.org/10.3390/su16146102openalex-snapshot

Hybrid Photovoltaic Output Forecasting Model with Temporal Convolutional Network Using Maximal Information Coefficient and White Shark Optimizer

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