David Hamlyn | ML Researcher in Solar Forecasting

Recent Research in Solar Forecasting

Exploring the intersection of computer vision and renewable energy for solar irradiance forecasting using Vision Transformers

Article Jul 2025

Vision Transformers for Estimating Irradiance Using Data Scarce Sky Images

David Hamlyn • Sunny Chaudhary • Tasmiat Rahman

DOI: 10.1016/j.egyai.2025.100560

Energy and AI Paper Cover

Vision Transformers for Estimating Irradiance

D. Hamlyn et al.

10.1016/j.egyai.2025.100560

Presentation Apr 2025

Estimating Diffuse Irradiance Using Sky Images and Augmented Data

PVSAT 2025 (Institute of Physics Solar-Energy Conference)

David Hamlyn

Conference Website

PVSAT 2025 Conference

About

I am a Machine Learning researcher focused on developing innovative computer vision solutions for solar energy forecasting applications. My work combines deep learning techniques with environmental data to improve solar irradiance estimation from sky images using Vision Transformers.

My research interests include:

Computer Vision & Deep Learning
Solar Energy Forecasting & Renewable Technologies
Vision Transformers & Neural Networks
Environmental Data Analysis & GHI/DHI Estimation

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