Computer Science
Distribution Network
100%
Explainable Artificial Intelligence
100%
Convolutional Neural Network
100%
Deep Learning Method
66%
Artificial Intelligence Model
33%
Model Prediction
33%
Relative Importance
33%
Ensemble Learning
33%
Weighted Average
33%
Operational Process
33%
Ensemble Learning Algorithm
33%
Artificial Intelligence
33%
Human Resources
33%
Fully Connected Layer
33%
SHapley Additive exPlanation
33%
One-Dimensional Convolutional Neural Network
33%
Keyphrases
Electricity Distribution Network
100%
Explainable Artificial Intelligence
100%
Non-technical Losses
100%
Convolutional Neural Network
27%
Technical Loss Reduction
18%
Data Combination
9%
Developing Countries
9%
Significant Predictors
9%
Policy Outcomes
9%
Artificial Intelligence Models
9%
Artificial Intelligence
9%
Consumption Data
9%
Reduction Strategies
9%
Extant Literature
9%
Model Prediction
9%
Deep Learning
9%
Sub-Saharan Africa
9%
Precision-recall
9%
Precision Accuracy
9%
Deep Learning Model
9%
Fully Connected Layer
9%
1-dimensional Convolutional Neural Network (1D-CNN)
9%
Multiple Models
9%
Shapley Additive Explanations
9%
Explainability
9%
Ensemble Learning Model
9%
Customer Data
9%
Ranking Framework
9%
Ensemble Machine Learning
9%
Human Resources Metrics
9%
Operational Processes
9%
Electricity Distribution
9%
Model Scoring
9%
Kernel-based
9%
Tree-based
9%
Overall Modeling
9%
Decision Rationale
9%
Psychology
Neural Network
100%
Artificial Intelligence
100%
Learning Model
25%
Learning Algorithm
25%
Economics, Econometrics and Finance
Human Resources
100%
Developing Countries
100%
Earth and Planetary Sciences
Artificial Intelligence
100%
Human Resources
33%
Subsaharan Africa
33%