Hybrid power generation forecasting using CNN based BILSTM method for renewable energy systems

Research article (Automatika, 2022) · cited 32× · AI/ML
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Hybrid power generation forecasting using CNN based BILSTM method for renewable energy systems

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Hybrid power generation forecasting using CNN based BILSTM method for renewable energy systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid power generation forecasting using CNN based BILSTM method for renewable energy systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-power-generation-forecasting-using-cnn-based-bilstm-method-for-renewable-energy-systems
MLA “Hybrid power generation forecasting using CNN based BILSTM method for renewable energy systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-power-generation-forecasting-using-cnn-based-bilstm-method-for-renewable-energy-systems.
BibTeX @misc{4ortxyz_hybrid-power-generation-forecasting-using-cnn-based-bilstm-method-for-renewable-energy-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid power generation forecasting using CNN based BILSTM method for renewable energy systems}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-power-generation-forecasting-using-cnn-based-bilstm-method-for-renewable-energy-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid power generation forecasting using CNN based BILSTM method for renewable energy systems — https://4ort.xyz/entity/hybrid-power-generation-forecasting-using-cnn-based-bilstm-method-for-renewable-energy-systems (retrieved 2026-05-24)

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