Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Clustering-based forecasting method for individual consumers electricity load using time series representations
Smart meter based short-term load forecasting for residential customers
A Novel Wavelet-Based Ensemble Method for Short-Term Load Forecasting with Hybrid Neural Networks and Feature Selection
Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting
A Deep Learning Framework for Short-term Power Load Forecasting
Building Energy Load Forecasting using Deep Neural Networks
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production
Recurrent neural networks for short-term load forecasting
Multivariate k-nearest neighbour regression for time series data — A novel algorithm for forecasting UK electricity demand
Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNN
Electric load demand forecasting for Aborlan-Narra-Quezon distribution grid in Palawan using multiple linear regression
Using weather ensemble predictions in electricity demand forecasting
Energy Consumption Forecasting for Smart Meters
Deep neural networks for short-term load forecasting in ERCOT system
Two-Stage Pattern Recognition of Load Curves for Classification of Electricity Customers
A Computing Model of Artificial Intelligent Approaches to Mid-term Load Forecasting: a state-of-the-art- survey for the researcher
Long Term Probabilistic Load Forecasting and Normalization With Hourly Information
Electricity price forecasting: A review of the state-of-the-art with a look into the future
Long term load forecasting with hourly predictions based on long-short-term-memory networks
Short term power load forecasting using Deep Neural Networks
An electric energy consumer characterization framework based on data mining techniques
stochastic models underlying croston ' s method for intermittent demand forecasting .
A probabilistic retrieval model for semistructured data
A work systems analysis approach to understanding fatigue in hospital nurses.
Reset-free Trial-and-Error Learning for Robot Damage Recovery
Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation