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Refinado por: Nome da Publicação: Energies remover
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Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation
Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation
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Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

Zheng, Huiting ; Yuan, Jiabin ; Chen, Long

Energies (Basel), 2017-08, Vol.10 (8), p.1168 [Periódico revisado por pares]

Basel: MDPI AG

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2
Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches
Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches
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Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches

Bouktif, Salah ; Fiaz, Ali ; Ouni, Ali ; Serhani, Mohamed

Energies (Basel), 2018, Vol.11 (7), p.1636 [Periódico revisado por pares]

Basel: MDPI AG

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3
A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network
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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A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network

Tian, Chujie ; Ma, Jian ; Zhang, Chunhong ; Zhan, Panpan

Energies (Basel), 2018-12, Vol.11 (12), p.3493 [Periódico revisado por pares]

Basel: MDPI AG

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4
Electricity Price Forecasting Using Recurrent Neural Networks
Electricity Price Forecasting Using Recurrent Neural Networks
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Electricity Price Forecasting Using Recurrent Neural Networks

Ugurlu, Umut ; Oksuz, Ilkay ; Tas, Oktay

Energies (Basel), 2018, Vol.11 (5), p.1255 [Periódico revisado por pares]

Basel: MDPI AG

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5
The Concept of Using LSTM to Detect Moisture in Brick Walls by Means of Electrical Impedance Tomography
The Concept of Using LSTM to Detect Moisture in Brick Walls by Means of Electrical Impedance Tomography
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The Concept of Using LSTM to Detect Moisture in Brick Walls by Means of Electrical Impedance Tomography

Kłosowski, Grzegorz ; Hoła, Anna ; Rymarczyk, Tomasz ; Skowron, Łukasz ; Wołowiec, Tomasz ; Kowalski, Marcin

Energies (Basel), 2021-11, Vol.14 (22), p.7617 [Periódico revisado por pares]

Basel: MDPI AG

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6
Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting
Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting
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Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting

Bouktif, Salah ; Fiaz, Ali ; Ouni, Ali ; Serhani, Mohamed Adel

Energies (Basel), 2020-01, Vol.13 (2), p.391 [Periódico revisado por pares]

Basel: MDPI AG

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7
A Deep Learning Approach for Peak Load Forecasting: A Case Study on Panama
A Deep Learning Approach for Peak Load Forecasting: A Case Study on Panama
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A Deep Learning Approach for Peak Load Forecasting: A Case Study on Panama

Ibrahim, Bibi ; Rabelo, Luis

Energies (Basel), 2021-06, Vol.14 (11), p.3039 [Periódico revisado por pares]

Basel: MDPI AG

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8
Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)
Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)
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Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)

Skrobek, Dorian ; Krzywanski, Jaroslaw ; Sosnowski, Marcin ; Kulakowska, Anna ; Zylka, Anna ; Grabowska, Karolina ; Ciesielska, Katarzyna ; Nowak, Wojciech

Energies (Basel), 2020-12, Vol.13 (24), p.6601 [Periódico revisado por pares]

Basel: MDPI AG

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9
Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study
Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study
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Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study

Aslam, Muhammad ; Lee, Jae-Myeong ; Kim, Hyung-Seung ; Lee, Seung-Jae ; Hong, Sugwon

Energies (Basel), 2020-01, Vol.13 (1), p.147 [Periódico revisado por pares]

Basel: MDPI AG

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10
Recurrent Neural Network-Based Hourly Prediction of Photovoltaic Power Output Using Meteorological Information
Recurrent Neural Network-Based Hourly Prediction of Photovoltaic Power Output Using Meteorological Information
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Recurrent Neural Network-Based Hourly Prediction of Photovoltaic Power Output Using Meteorological Information

Lee, Donghun ; Kim, Kwanho

Energies (Basel), 2019-01, Vol.12 (2), p.215 [Periódico revisado por pares]

Basel: MDPI AG

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