Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Load forecasting using a multivariate meta-learning system
Electric load forecasting: Literature survey and classification of methods
A computational intelligence scheme for the prediction of the daily peak load
Improving multi-step prediction of learned time series models
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals
Cross-disciplinary perspectives on meta-learning for algorithm selection
A Perspective View and Survey of Meta-Learning
Decision Tree-Based Data Characterization for Meta- Learning
Online meta-learning by parallel algorithm competition
Gradient Agreement as an Optimization Objective for Meta-Learning
Random vector functional link network for short-term electricity load demand forecasting
Modular meta-learning
The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection
Optimal Load Shedding Using an Ensemble of Artificial Neural Networks
On First-Order Meta-Learning Algorithms
Improving Multivariate Time Series Forecasting with Random Walks with Restarts on Causality Graphs
Simple Principles Of Metalearning
MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data
Generalization by Weight-Elimination with Application to Forecasting
Monthly energy consumption forecast: A deep learning approach
Meta-Learning Priors for Efficient Online Bayesian Regression
Controlling privacy with trust-aware link prediction in online social networks
Characteristic-based Clustering for Time Series Data
COP: a new corner detector
A Compare-Aggregate Model for Matching Text Sequences
Pilot Study on Quality Assurance in Cardiac Surgery