Apply Bayesian Inference with Normal–Normal Conjugate to Forecast Renewable Energy Generation: A Case Study of Waste-to-Energy in Taiwan
This paper applies Bayesian inference with normal–normal conjugate to forecast renewable energy generation. The generation forecasts a probability distribution rather than a quantitative value. An assumed normal distribution is initialized for renewable energy generation. This assumed normal distrib...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
AVES
2024-06-01
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| Series: | Turkish Journal of Electrical Power and Energy Systems |
| Online Access: | https://tepesjournal.org/en/apply-bayesian-inference-with-normal-normal-conjugate-to-forecast-renewable-energy-generation-a-case-study-of-waste-to-energy-in-taiwan-1373 |
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