Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: An Effort to Optimize Similar Days Parameters for ANN Based Electricity Price Forecasting
Day-ahead price forecasting of electricity markets by a new fuzzy neural network
Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping
Electricity price forecasting in deregulated markets: A review and evaluation
Long Term Annual Electricity Demand Forecasting in Sri Lanka by Artificial Neural Networks
Optimized Day-Ahead Pricing for Smart Grids with Device-Specific Scheduling Flexibility
Forecasting Electricity Demand in Thailand with an Artificial Neural Network Approach
Electric load forecasting in smart grids using Long-Short-Term-Memory based Recurrent Neural Network
Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks
Comparison of serial and parallel approaches using artificial neural networks for Algerian short-term load forecasting
Deep neural networks for short-term load forecasting in ERCOT system
Electricity demand forecasting by multi-task learning
Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland
Application of time series and artificial neural network models in short-term forecasting of PV power generation
Scalable Forecasting Techniques Applied to Big Electricity Time Series
A computational intelligence scheme for the prediction of the daily peak load
Monthly energy consumption forecast: A deep learning approach
Building Energy Load Forecasting using Deep Neural Networks
Predicting future hourly residential electrical consumption: A machine learning case study
Short term power load forecasting using Deep Neural Networks
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production
Semi-Supervised Dimensionality Reduction
A Novel High-Speed and Energy Efficient 10-Transistor Full Adder Design
Resource Efficiency in Low-Power Wide-Area Networks for IoT Applications
adaptive pattern recognition and neural networks .
Improving Duckworth lewis method by using machine learning