Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting
Electric load forecasting: Literature survey and classification of methods
OPTIMIZED CLUSTERS FOR DISAGGREGATED ELECTRICITY LOAD FORECASTING
Clustering-based forecasting method for individual consumers electricity load using time series representations
The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection
Electricity demand forecasting by multi-task learning
Energy consumption forecasting using ARIMA and neural network models
Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks
A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis
Survey on Machine Learning based Electric Consumption Forecasting using Smart Meter Data
Probabilistic Forecasting of Hourly Electricity Price by Generalization of ELM for Usage in Improved Wavelet Neural Network
Smart meter based short-term load forecasting for residential customers
Short-Term Price Forecasting Models Based on Artificial Neural Networks for Intraday Sessions in the Iberian Electricity Market
Long Term Annual Electricity Demand Forecasting in Sri Lanka by Artificial Neural Networks
An Effort to Optimize Similar Days Parameters for ANN Based Electricity Price Forecasting
Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments
When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid
Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping
Electric load demand forecasting for Aborlan-Narra-Quezon distribution grid in Palawan using multiple linear regression
Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm
Back-Propagation Neural Network Combined With a Particle Swarm Optimization Algorithm for Travel Package Demand Forecasting
A new optimizer using particle swarm theory
Concept Maps as Hypermedia Components
Analyzing and Predicting Spatial Crime Distribution Using Crowdsourced and Open Data
Genetic engineering of animals: ethical issues, including welfare concerns.
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation