An Interpretable Deep Learning Model for Solar Power Generation Forecasting in a Grid-Connected Hybrid Solar System
Tajrian Mollick; Md Jobayer; Md Samrat Hossin; Shahidul Islam Khan; A S Nazmul Huda; Saifur Rahman Sabuj
- Published
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Research area
- AI & compute
- Source type
- Preprint / posted paper
- DOI
- 10.36227/techrxiv.174353124.43348549/v1
This is a preprint or other posted paper. Check the original source for its review and publication status.
The original publisher provides the full text and its access options.
Cite this source
Tajrian Mollick; Md Jobayer; Md Samrat Hossin; Shahidul Islam Khan; A S Nazmul Huda; Saifur Rahman Sabuj. An Interpretable Deep Learning Model for Solar Power Generation Forecasting in a Grid-Connected Hybrid Solar System. Institute of Electrical and Electronics Engineers (IEEE). 2025-04-01. https://doi.org/10.36227/techrxiv.174353124.43348549/v1