Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Load Forecasting via Deep Neural Networks
hierarchical load forecasting : gradient boosting machines and gaussian processes .
Random vector functional link network for short-term electricity load demand forecasting
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting
Guidelines for Financial Forecasting with Neural Networks
DeepRailway: A Deep Learning System for Forecasting Railway Traffic
Load forecasting using a multivariate meta-learning system
Different Methods of Long-Term Electric Load Demand Forecasting; A Comprehensive Review
DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow Prediction
Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks
A computational intelligence scheme for the prediction of the daily peak load
Recurrent Neural Networks for Time Series Forecasting
The principles and practice of time series forecasting and business modelling using neural nets
DEMAND FORECASTING USING NEURAL NETWORK FOR SUPPLY CHAIN MANAGEMENT
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks
Sequence-to-point learning with neural networks for nonintrusive load monitoring
Designing a Neural Network for Forecasting Financial and Economic Time Series
An artificial neural network (p,d,q) model for timeseries forecasting
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series
financial time series forecasting using artificial neural networks .
Using Neural Networks to Forecast Stock Market Prices
Security Analysis of an Open Car Immobilizer Protocol Stack
Deep Neural Networks for Object Detection
PROUD—Public Road Urban Driverless-Car Test
You Can't Be Me: Enabling Trusted Paths and User Sub-origins in Web Browsers
Molecular mechanism of resistance ofFusarium fujikuroito benzimidazole fungicides