Year  Title  Author 
2017

Visual Forecasting by Imitating Dynamics in Natural Sequences 
KH Zeng, WB Shen, DA Huang, M Sun, JC Niebles

2017

δagree Adaboost Stacked Autoencoder for Shortterm Traffic Flow Forecasting 
T Zhou, G Han, X Xu, Z Lin, C Han, Y Huang, J Qin

2017

ShortTerm Power Load Forecasting with Deep Belief Network and Copula Models 
Y He, J Deng, H Li

2017

Research and application of a hybrid wavelet neural network model with the improved cuckoo search algorithm for electrical power system forecasting 
L Xiao, W Shao, M Yu, J Ma, C Jin

2017

Electric load forecasting by using dynamic neural network 
M Mordjaoui, S Haddad, A Medoued, A Laouafi

2017

Conditional Time Series Forecasting with Convolutional Neural Networks 
A Borovykh, S Bohte, CW Oosterlee

2017

Effect of Transfer Functions in Deep Belief Network for ShortTerm Load Forecasting 
X Zhang, R Wang, T Zhang, Y Liu, Y Zha

2017

LongTerm Mobile Traffic Forecasting Using Deep SpatioTemporal Neural Networks 
C Zhang, P Patras

2017

The Decomposition Issue of a Time Series in the Forecasting Process 
D Grzesica

2017

Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network 
H Wang, H Yi, J Peng, G Wang, Y Liu, H Jiang, W Liu

2017

The Pose Knows: Video Forecasting by Generating Pose Futures 
J Walker, K Marino, A Gupta, M Hebert

2017

Deep Learning applied to Road Traffic Speed forecasting 
T Epelbaum, F Gamboa, JM Loubes, J Martin

2017

Forecasting spot electricity prices: deep learning approaches and empirical comparison of traditional algorithms 
J Lago, F De Ridder, P Vrancx, B De Schutter

2017

Convolutional neural networks applied to highfrequency market microstructure forecasting 
J Doering, M Fairbank, S Markose

2017

Empirical Mode Decomposition based Ensemble Deep Learning for Load Demand Time Series Forecasting 
X Qiu, Y Ren, PN Suganthan, GAJ Amaratunga

2017

Time Series Forecasting Based on Augmented Long ShortTerm Memory 
D Hsu

2017

Red tide time series forecasting by combining ARIMA and deep belief network 
M Qin, Z Li, Z Du

2017

A Deep Learning Framework for Shortterm Power Load Forecasting 
T Ouyang, Y He, H Li, Z Sun, S Baek

2017

Deep Forecast: Deep Learningbased SpatioTemporal Forecasting 
A Ghaderi, BM Sanandaji, F Ghaderi

2017

A GPU deep learning metaheuristic based model for time series forecasting 
IM Coelho, VN Coelho, EJS Luz, LS Ochi

2017

Deep Learning for Real Time Crime Forecasting 
B Wang, D Zhang, D Zhang, PJ Brantingham

2017

Hydraulic Modeling and Deep Learning Based Flow Forecasting for Optimizing Inter Catchment Wastewater Transfer 
D Zhang, ES Hølland, G Lindholm, H Ratnaweera

2017

Financial time series forecasting using conditional Restricted Boltzmann Machine 
KC Lai

2017

A multipattern deep fusion model for shortterm bus passenger flow forecasting 
Y Bai, Z Sun, B Zeng, J Deng, C Li

2017

Load Forecasting using Linear Regression Analysis and Moving Average Technique in Time Series Model for RGUKT, RK Valley Campus HT Feeder 
MD Reddy, N Vishali

2017

Forecasting Crude Oil Prices: a Deep Learning based Model 
Y Chen, K He, GKF Tso

2017

A Hybrid Deep Learning Forecasting Model Using GPU Disaggregated Function Evaluations Applied for Household Electricity Demand Forecasting 
VN Coelho, IM Coelho, E Rios, ST Alexandre Filho

2017

Deep Neural Network Regression for ShortTerm Load Forecasting of Natural Gas 
G Merkel, RJ Povinelli, RH Brown

2017

Characterizing Time Series Data Diversity for Wind Forecasting 
C Feng, EK Chartan, BM Hodge, J Zhang

2017

Forecasting Air Quality Index Using an Ensemble of Artificial Neural Networks and Regression Models 
SS Ganesh, P Arulmozhivarman, R Tatavarti

2017

Anesthesiologistlevel forecasting of hypoxemia with only SpO2 data using deep learning 
G Erion, H Chen, SM Lundberg, SI Lee

2017

Reservoir thickness forecasting based on Deep Belief Networks 
L Liu, Z Guangzhi, Z Chen

2017

Deep Learning for RealTime Crime Forecasting and its Ternarization 
B Wang, P Yin, AL Bertozzi, PJ Brantingham, SJ Osher

2017

Big multistep wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm 
H Liu, Z Duan, F Han, Y Li

2017

Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network 
H Liu, X Mi, Y Li

2017

Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning 
T Hirata, T Kuremoto, M Obayashi, S Mabu

2017

Electricity Load Forecasting by an Improved Forecast Engine for Building Level Consumers 
Y Liu, W Wang, N Ghadimi

2017

Load forecasting using Moving Average model for RGUKT, RK Valley Campus HT Feeder 
D Reddy, N Vishali

2017

A DeepLearningBased Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis 
M Das, SK Ghosh

2017

ShortTerm Forecasting of Passenger Demand under OnDemand Ride Services: A SpatioTemporal Deep Learning Approach 
J Ke, H Zheng, H Yang

2017

A ThreeStep Deep Neural Network Methodology for Exchange Rate Forecasting 
JC Figueroa

2017

Shortterm output power forecasting of photovoltaic systems based on the deep belief net 
LL Li, P Cheng, HC Lin, H Dong

2017

Long Short Term Memory Networks for ShortTerm Electric Load Forecasting 
A Narayan, KW Hipel

2017

Foreign Exchange Rates Forecasting with Convolutional Neural Network 
C Liu, W Hou, D Liu

2017

A hybrid system for forecasting 24hour power load profile for Polish electric grid 
S Brodowski, A Bielecki, M Filocha

2017

A multiple time seriesbased recurrent neural network for shortterm load forecasting 
B Zhang, JL Wu, PC Chang

2017

ShortTerm Residential Load Forecasting based on Resident Behaviour Learning 
W Kong, ZY Dong, DJ Hill, F Luo, Y Xu

2017

Shortterm Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines 
X Qiu, PN Suganthan, GAJ Amaratunga

2017

A deep learning ensemble approach for crude oil price forecasting 
Y Zhao, J Li, L Yu

2017

Modified Genetic Algorithmbased Feature Selection Combined with Pretrained Deep Neural Network for Demand Forecasting in Outpatient Department 
S Jiang, C Kwai

2017

Neural Network training model for weather forecasting using Fireworks Algorithm 
S Suksri, W Kimpan

2017

A Novel DBN Model for Time Series Forecasting 
Y Ren, J Mao, Y Liu, Y Li

2017

Research on exchange rate forecasting based on deep belief network 
J Zheng, X Fu, G Zhang

2017

Probabilistic forecasting of symbol sequences with deep neural networks 
M Hauser, Y Fu, Y Li, S Phoha, A Ray

2017

Improving load forecasting based on deep learning and Kshape clustering 
F Fahiman, SM Erfani, S Rajasegarar, M Palaniswami

2017

Traffic flow forecasting with deep learning 
PØ Kanestrøm

2017

Deep neural networks for energy load forecasting 
K Amarasinghe, DL Marino, M Manic

2017

MultiObjective Optimization of Hybrid Renewable Energy System with Load Forecasting 
M Ming, R Wang, Y Zha, T Zhang

2017

Oblique Random Forest Ensemble via Least Square Estimation for Time Series Forecasting 
X Qiu, L Zhang, PN Suganthan, GAJ Amaratunga

2016

ShortTerm Traffic States Forecasting Considering Spatial–Temporal Impact on an Urban Expressway 
P Chen, C Ding, G Lu, Y Wang

2016

Deep Learning for Wind Speed Forecasting in Northeastern Region of Brazil 
AT Sergio, TB Ludermir

2016

Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach 
HF Yang, TS Dillon, YPP Chen

2016

Modeling Precursors for Event Forecasting via Nested MultiInstance Learning 
Y Ning, S Muthiah, H Rangwala, N Ramakrishnan

2016

Forecasting Trade Direction and Size of Future Contracts Using Deep Belief Network 
A Lai, MK Li, FW Pong

2016

A Hybrid Approach for Time Series Forecasting Using Deep Learning and Nonlinear Autoregressive Neural Networks 
S Narejo, EGA Pasero

2016

Deep neural network based demand side short term load forecasting 
S Ryu, J Noh, H Kim

2016

Deep belief network based deterministic and probabilistic wind speed forecasting approach 
HZ Wang, GB Wang, GQ Li, JC Peng, YT Liu

2016

Shortterm traffic flow forecasting with spatialtemporal correlation in a hybrid deep learning framework 
Y Wu, H Tan

2016

Deep learning based ensemble approach for probabilistic wind power forecasting 
H Wang, G Li, G Wang, J Peng, H Jiang, Y Liu

2016

Optimization of decentralized renewable energy system by weather forecasting and deep machine learning techniques 
T Sogabe, H Ichikawa, K Sakamoto, K Yamaguchi

2016

Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting 
T Hirata, T Kuremoto, M Obayashi, S Mabu

2016

An Uncertain Future: Forecasting from Static Images using Variational Autoencoders 
J Walker, C Doersch, A Gupta, M Hebert

2016

Air quality forecasting using neural networks 
C Zhao

2016

A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction 
H Shen, X Liang

2016

A hybrid wind power forecasting model based on data mining and wavelets analysis 
R Azimi, M Ghofrani, M Ghayekhloo

2016

Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting 
C Li, Y Bai, B Zeng

2016

Forecasting the Precipitation of the Next Day Using Deep Learning 
JH Ha, YH Lee, YH Kim

2016

A hybrid forecasting approach applied in the electrical power system based on data preprocessing, optimization and artificial intelligence algorithms 
P Jiang, X Ma

2015

A Deep Hybrid Model for Weather Forecasting 
A Grover, A Kapoor, E Horvitz

2015

Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting 
CY Zhang, CLP Chen, M Gan, L Chen

2015

A Review of Datasets and Load Forecasting Techniques for Smart Natural Gas and Water Grids: Analysis and Experiments. 
M Fagiani, S Squartini, L Gabrielli, S Spinsante

2015

Shortterm load forecasting for smart water and gas grids: A comparative evaluation 
M Fagiani, S Squartini, R Bonfigli, F Piazza

2015

The Impact of Structured Event Embeddings on Scalable Stock Forecasting Models 
JB Nascimento, M Cristo

2015

Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models 
Y Bai, Z Chen, J Xie, C Li

2015

Forecasting And Inventory Performance In DirectStore Delivery Supply Chain: Case Of Retailer In Serbia 
M Dobrota, M Vujošević

2015

Forecasting Exchange Rate using Deep Belief Networks and Conjugate Gradient Method 
F Shen, J Chao, J Zhao

2015

Forecasting Olea Airborne Pollen Concentration By Means Of Artificial Intelligence 
MA Iglesias
