1 citations · 3 across the 7 of their papers we have counts for
8 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…
Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity
Parinthorn Manomaisaowapak, Jitkomut Songsiri
This paper considers joint learning of multiple sparse Granger graphical models to discover underlying common and differential Granger causality (GC) structures across multiple tim…
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
Poomipat Boonyakitanont, Apiwat Lek-uthai, Krisnachai Chomtho +1
Since the manual detection of electrographic seizures in continuous electroencephalogram (EEG) monitoring is very time-consuming and requires a trained expert, attempts to develop…
Convex Formulation for Regularized Estimation of Structural Equation Models
Anupon Pruttiakaravanich, Jitkomut Songsiri
Path analysis is a model class of structural equation modeling (SEM), which it describes causal relations among measured variables in the form of a multiple linear regression. This…
Critical comments on EEG sensor space dynamical connectivity analysis
Frederik van de Steen, Luca Faes, Esin Karahan +3
Many different analysis techniques have been developed and applied to EEG recordings that allow one to investigate how different brain areas interact. One particular class of metho…