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Computer Science
Stochastic Optimization
100%
LightGBM
100%
Deterministic Approach
75%
Data Availability
66%
Recurrent Neural Network
50%
Forecasting Method
50%
Generalizability
50%
Published Data
50%
Problem Setting
50%
Potential Application
50%
Transportation Planning
50%
Scheduling Problem
50%
Supply Chain
50%
Technical Challenge
50%
forecasting accuracy
50%
Decision-Making
50%
Numerical Variable
50%
Predictive Model
50%
Safe Reinforcement Learning
50%
Decision Tree
50%
United States of America
50%
Gradient Boosting Tree
50%
Cluster Dynamic
50%
Gaussian Mixture Model
50%
Training Data
50%
Mixed Integer Programming
50%
Machine Learning
45%
Learning System
45%
Reinforcement Learning
37%
Artificial Neural Network
33%
Smart Meter
33%
Practical Guideline
25%
Control Algorithm
25%
Theoretical Framework
25%
Case Study
25%
Performance Bound
25%
Log Transformation
25%
Empirical evidence
25%
Generation Time
25%
Gradient Boosting
25%
Evolution Strategy
25%
Large-Scale Optimization
25%
evolutionary optimization
25%
Genetic Algorithm
25%
Covariance Matrix
25%
Encoding Stage
16%
Neural Network Model
16%
Temporal Resolution
16%
Data Preprocessing
16%
Temporal Feature
16%
Engineering
Microgrid
50%
Load Forecasting
50%
Recurrent Neural Network
50%
Electric Vehicle
50%
Electric vehicle charging
50%
Electricity Cost
50%
Renewable Energy
50%
Smart Meter
33%
Energy Management
29%
Gaussian Mixture Model
25%
Electricity Grid
25%
Similarity
25%
Forecast Error
25%
Energy Systems
25%
United States of America
25%
Source Access
16%
Smart Grid
16%
Artificial Neural Network
16%
Electricity Demand
16%
Learning System
16%
Forecaster
16%
Data Preprocessing
16%
Moving Average
16%
Deep Learning Method
16%
Learning Approach
16%
Root Mean Square Error
16%
Green Energy
16%
Load Forecast
16%
Local Search
16%
Test Dataset
16%
Long Short-Term Memory
16%
Engineering
16%
Temporal Window
16%
Long Short-Term Memory Network
16%
Mean Absolute Error
16%
Temporal Resolution
16%
Pearsons Linear Correlation Coefficient
16%
Office Buildings
16%
Individual Building
16%
Genetic Algorithm
16%
Baseload
16%
Limitations
16%
Additional Feature
16%
Covariance Matrix
16%
UK
16%
Machine Learning Method
16%
Artificial Neural Network Model
16%
Model Input
16%
Management Chain
12%
Potential Application
12%
Earth and Planetary Sciences
Forecasting Method
100%
Short-Term Load Forecasting
100%
Artificial Neural Network
75%
Time Series
75%
Energy Management
50%
Smart Grid
50%
Machine Learning
50%
Canada
50%
Belgium
50%
London
25%
Seasonality
25%
Root-Mean-Square Error
25%
Long Short-Term Memory Network
25%
Weather Condition
25%
Long Short-Term Memory
25%
British Columbia
25%
United Kingdom
25%
England
25%
