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A Data-Driven Short-Term PV Generation and Load Forecasting Approach for Microgrid Applications
Rohit Trivedi
,
Sandipan Patra
,
Shafi Khadem
University College Cork
Research output
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Contribution to journal
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Article
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peer-review
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Engineering
Data Preprocessing
100%
Microgrid
100%
Load Forecasting
100%
Systematic Approach
50%
Measured Data
50%
Learning System
50%
Feature Extraction
50%
Random Forest
50%
Convolutional Neural Network
50%
Moving Average
50%
Recurrent
50%
Network Model
50%
Long Short-Term Memory
50%
Selection Algorithm
50%
Real-Life Demonstration
50%
Recurrent Neural Network
50%
Lstm
50%
Demand Forecasting
50%
Chemical Engineering
Learning System
100%
Neural Network
100%
Long Short-Term Memory
100%
Recurrent Neural Network
100%
Long Short-Term Memory Network
100%
Feature Extraction
100%
Mathematics
Forecasting Model
100%
Autoregressive Integrated Moving Average Model
33%
Selection Stage
33%
Annual Variation
33%
Computer Science
Sequential Forward
50%
Feature Generation
50%