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Increase Friendly Integration of Reliable PV plants considering different market segments
AlcaƱiz Moya, A.
(Participant)
Ziar, H.
(Participant)
Isabella, O.
(Participant)
Photovoltaic Materials and Devices
Overview
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Research output
(4)
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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INIS
yields
100%
machine learning
92%
monitoring
77%
data
76%
prediction
68%
power
65%
forecasting
62%
performance
59%
errors
47%
detection
45%
inspection
34%
climates
34%
market
34%
algorithms
32%
solutions
26%
Engineering
Photovoltaic System
100%
Models
87%
Yield
77%
Prediction
62%
Performance
61%
Photovoltaics
51%
Photovoltaic Power
45%
Detection
45%
Integration
42%
Innovation
34%
Fields
34%
Photovoltaic System Monitoring
34%
Root-Mean-Squared Error
34%
Inspection
34%
Evaluation
34%
Algorithm
28%
Keyphrases
PV Plant
34%
Field Inspection
34%
Market Segment
34%
Photovoltaic Power Forecasting
34%
Machine Learning
34%
Photovoltaic System
28%