3 citations · 3 across the 3 of their papers we have counts for
4 papers
Wind Power Prediction across Different Locations using Deep Domain Adaptive Learning
Md Saiful Islam Sajol, Md Shazid Islam, A S M Jahid Hasan +2
Accurate prediction of wind power is essential for the grid integration of this intermittent renewable source and aiding grid planners in forecasting available wind capacity. Spati…
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…
A Comprehensive Optimization Method for Commercial Building Loads with Renewable Generation and Energy Storage from Utility Rate Structure Perspective
A S M Jahid Hasan, Jubair Yusuf, Sadrul Ula
To accommodate the changes in the nature and pattern of electricity consumption with the available resources, utility companies have introduced a variety of rate structures over th…
A Centralized Optimization Approach for Bidirectional PEV Impacts Analysis in a Commercial Building-Integrated Microgrid
Jubair Yusuf, A S M Jahid Hasan, Luis Fernando Enriquez-Contreras +1
Building sector is the largest energy user in the United States. Conventional building energy studies mostly involve Heating, Ventilation, and Air Conditioning (HVAC), and lighting…