4 papers
Barrier-enforced multi-objective optimization for direct point and sharp interval forecasting
Worachit Amnuaypongsa, Yotsapat Suparanonrat, Pana Wanitchollakit +1
This paper proposes a multi-step probabilistic forecasting framework using a single neural-network based model to generate simultaneous point and interval forecasts. Our approach e…
Stochastic EMS for Optimal 24/7 Carbon-Free Energy Operations
Natanon Tongamrak, Kannapha Amaruchkul, Wijarn Wangdee +1
This paper proposes a two-stage stochastic optimization formulation to determine optimal operation and procurement plans for achieving a 24/7 carbon-free energy (CFE) compliance at…
Large width penalization for neural network-based prediction interval estimation
Worachit Amnuaypongsa, Jitkomut Songsiri
Forecasting accuracy in highly uncertain environments is challenging due to the stochastic nature of systems. Deterministic forecasting provides only point estimates and cannot cap…
Developing a Thailand solar irradiance map using Himawari-8 satellite imageries and deep learning models
Suwichaya Suwanwimolkul, Natanon Tongamrak, Nuttamon Thungka +2
This paper presents an online platform showing Thailand solar irradiance map every 30 minutes, available at https://www.cusolarforecast.com. The methodology for estimating global h…