2 citations · 3 across the 4 of their papers we have counts for
4 papers
Semi-Supervised Deep Domain Adaptation for Predicting Solar Power Across Different Locations
Md Shazid Islam, A S M Jahid Hasan, Md Saydur Rahman +1
Accurate solar generation prediction is essential for proper estimation of renewable energy resources across diverse geographic locations. However, geographical and weather feature…
Location Agnostic Source-Free Domain Adaptive Learning to Predict Solar Power Generation
Md Shazid Islam, A S M Jahid Hasan, Md Saydur Rahman +3
The prediction of solar power generation is a challenging task due to its dependence on climatic characteristics that exhibit spatial and temporal variability. The performance of a…
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
Md Shazid Islam, Md Saydur Rahman, Md Saad Ul Haque +3
Rain precipitation prediction is a challenging task as it depends on weather and meteorological features which vary from location to location. As a result, a prediction model that…
Comparative Evaluation of Weather Forecasting using Machine Learning Models
Md Saydur Rahman, Farhana Akter Tumpa, Md Shazid Islam +3
Gaining a deeper understanding of weather and being able to predict its future conduct have always been considered important endeavors for the growth of our society. This research…