Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T17:58:42.863642Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 1 inbound Pith citation observation for arXiv:1907.09207.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T17:58:42.863642Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T03:18:04.504155Z
A source-named dated measurement, never combined with another source.
Source: cited_works
95 of 95 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 35d8f1b5-8bf0-44b8-b77d-3af2b108c955 · outbound
Deep Learning for Time Series Forecasting: The Electric Load Case Unresolved cited work
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Deep Learning for Time Series Forecasting: The Electric Load Case A methodology for electric power load forecasting
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Deep Learning for Time Series Forecasting: The Electric Load Case Analysis of an adaptive time-series autoregressive moving-average (arma) model for short-term load forecasting
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Deep Learning for Time Series Forecasting: The Electric Load Case Short-term load forecasting via arma model identification including non-gaussian process considerations
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Deep Learning for Time Series Forecasting: The Electric Load Case The time series approach to short term load forecasting
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Deep Learning for Time Series Forecasting: The Electric Load Case A particle swarm optimization to identifying the armax model for short-term load forecasting
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Deep Learning for Time Series Forecasting: The Electric Load Case Identification of armax model for short term load forecasting: An evolutionary programming approach
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Deep Learning for Time Series Forecasting: The Electric Load Case Building-level occupancy data to improve arima-based electricity use forecasts
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Deep Learning for Time Series Forecasting: The Electric Load Case Liew, and C.S
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Deep Learning for Time Series Forecasting: The Electric Load Case Drezga and S
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Deep Learning for Time Series Forecasting: The Electric Load Case A high precision artificial neural networks model for short-term energy load forecasting
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Deep Learning for Time Series Forecasting: The Electric Load Case Amarasinghe, D
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Observation ece6a6e1-86ab-4ba6-8b8b-72bfb424f6a0 · outbound
Deep Learning for Time Series Forecasting: The Electric Load Case Electricity short term load forecasting using elman recurrent neural network
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Observation 1a5eb4b7-9636-4719-9f74-b206037132f2 · outbound
Deep Learning for Time Series Forecasting: The Electric Load Case An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
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Deep Learning for Time Series Forecasting: The Electric Load Case Short-term electric load forecasting using echo state networks and pca decomposition
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Deep Learning for Time Series Forecasting: The Electric Load Case Deep learning for estimating building energy consumption
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Deep Learning for Time Series Forecasting: The Electric Load Case Short-term residential load forecasting based on lstm recurrent neural network
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Deep Learning for Time Series Forecasting: The Electric Load Case Optimal deep learning lstm model for electric load forecasting using feature selection and genetic algorithm: Comparison with machine learning approaches
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Deep Learning for Time Series Forecasting: The Electric Load Case Short-term load forecasting with multi-source data using gated recurrent unit neural networks
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Deep Learning for Time Series Forecasting: The Electric Load Case Load forecasting via deep neural networks
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Deep Learning for Time Series Forecasting: The Electric Load Case A deep neural network model for short-term load forecast based on long short-term memory network and convolutional neural network
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Deep Learning for Time Series Forecasting: The Electric Load Case Global energy forecasting competition 2012
Reference 27
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Deep Learning for Time Series Forecasting: The Electric Load Case Using recurrent artificial neural networks to forecast household electricity consumption
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Deep Learning for Time Series Forecasting: The Electric Load Case Unresolved cited work
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Deep Learning for Time Series Forecasting: The Electric Load Case http://traces.cs.umass.edu/index.php/Smart/Smart
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Deep Learning for Time Series Forecasting: The Electric Load Case Combining auto-regression with exogenous variables in sequence-to-sequence recurrent neural networks for short-term load forecasting
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Deep Learning for Time Series Forecasting: The Electric Load Case Almalaq and G
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Deep Learning for Time Series Forecasting: The Electric Load Case Approximation with artificial neural networks
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Deep Learning for Time Series Forecasting: The Electric Load Case Adam: A Method for Stochastic Optimization
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Deep Learning for Time Series Forecasting: The Electric Load Case Chen, D.C
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Deep Learning for Time Series Forecasting: The Electric Load Case Deep residual learning for image recognition
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Deep Learning for Time Series Forecasting: The Electric Load Case Learning phrase representations using RNN encoder-decoder for statistical machine translation
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Deep Learning for Time Series Forecasting: The Electric Load Case Unresolved cited work
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Deep Learning for Time Series Forecasting: The Electric Load Case Williams and Jing Peng
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Deep Learning for Time Series Forecasting: The Electric Load Case Greff, R
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Deep Learning for Time Series Forecasting: The Electric Load Case Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
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Deep Learning for Time Series Forecasting: The Electric Load Case Comparative Study of CNN and RNN for Natural Language Processing
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Deep Learning for Time Series Forecasting: The Electric Load Case Speech Recognition with Deep Recurrent Neural Networks
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Deep Learning for Time Series Forecasting: The Electric Load Case Atiya, and Antti Sorjamaa
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Deep Learning for Time Series Forecasting: The Electric Load Case Time series prediction using dirrec strategy
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Deep Learning for Time Series Forecasting: The Electric Load Case Long term time series prediction with multi-input multi-output local learning
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Deep Learning for Time Series Forecasting: The Electric Load Case Long-term prediction of time series by combining direct and mimo strategies
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Reference 62
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Deep Learning for Time Series Forecasting: The Electric Load Case Neural Machine Translation by Jointly Learning to Align and Translate
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Reference 65
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Deep Learning for Time Series Forecasting: The Electric Load Case Graves, A
Reference 66
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Deep Learning for Time Series Forecasting: The Electric Load Case Attention-based models for speech recognition
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Deep Learning for Time Series Forecasting: The Electric Load Case Bahdanau, J
Reference 68
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Deep Learning for Time Series Forecasting: The Electric Load Case Show, attend and tell: Neural image caption generation with visual attention
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Deep Learning for Time Series Forecasting: The Electric Load Case Williams and David Zipser
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Deep Learning for Time Series Forecasting: The Electric Load Case Sequence Level Training with Recurrent Neural Networks
Reference 71
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Deep Learning for Time Series Forecasting: The Electric Load Case Scheduled sampling for sequence prediction with recurrent neural networks
Reference 72
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Deep Learning for Time Series Forecasting: The Electric Load Case Courville, and Yoshua Bengio
Reference 73
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Deep Learning for Time Series Forecasting: The Electric Load Case Deep Reinforcement Learning For Sequence to Sequence Models
Reference 74
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Deep Learning for Time Series Forecasting: The Electric Load Case Combining auto-regression with exogenous variables in sequence- to-sequence recurrent neural networks for short-term load forecasting
Reference 75
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Deep Learning for Time Series Forecasting: The Electric Load Case Gradient-based learning applied to document recognition
Reference 76
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Deep Learning for Time Series Forecasting: The Electric Load Case Imagenet classification with deep convolutional neural networks
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Reference 78
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Deep Learning for Time Series Forecasting: The Electric Load Case Going deeper with convolutions
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Deep Learning for Time Series Forecasting: The Electric Load Case Fast r-cnn
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Deep Learning for Time Series Forecasting: The Electric Load Case Spatial transformer networks
Reference 82
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Reference 83
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Deep Learning for Time Series Forecasting: The Electric Load Case Photo-realistic single image super-resolution using a generative adversarial network
Reference 84
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Deep Learning for Time Series Forecasting: The Electric Load Case Wavenet: A generative model for raw audio
Reference 85
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Deep Learning for Time Series Forecasting: The Electric Load Case Convolutional Sequence to Sequence Learning
Reference 86
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Deep Learning for Time Series Forecasting: The Electric Load Case Conditional time series forecasting with convolutional neural networks
Reference 87
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Deep Learning for Time Series Forecasting: The Electric Load Case A guide to convolution arithmetic for deep learning
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Deep Learning for Time Series Forecasting: The Electric Load Case An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Reference 89
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Reference 91
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Reference 92
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Deep Learning for Time Series Forecasting: The Electric Load Case Demystifying ResNet
Reference 93
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Deep Learning for Time Series Forecasting: The Electric Load Case Batch normalization: Accelerating deep network training by reducing internal covariate shift
Reference 94
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Deep Learning for Time Series Forecasting: The Electric Load Case Marinescu, C
Reference 95
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On-Device Adaptive Battery Power Prediction for Electric Vehicles Deep Learning for Time Series Forecasting: The Electric Load Case
Reference 1
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