適用於公開取用強制性政策的文章 - Stephen Haben瞭解詳情
在某個資料庫公開的文章：7
A new error measure for forecasts of household-level, high resolution electrical energy consumption
S Haben, J Ward, D Vukadinovic Greetham, C Singleton, P Grindrod
International Journal of Forecasting 30 (2), 246-256, 2014
授權規定： UK Engineering and Physical Sciences Research Council
Day-ahead industrial load forecasting for electric RTG cranes
F Alasali, S Haben, V Becerra, W Holderbaum
Journal of Modern Power Systems and Clean Energy 6 (2), 223-234, 2018
授權規定： UK Engineering and Physical Sciences Research Council
The conditioning of least‐squares problems in variational data assimilation
JM Tabeart, SL Dance, SA Haben, AS Lawless, NK Nichols, JA Waller
Numerical Linear Algebra with Applications 25 (5), e2165, 2018
授權規定： UK Engineering and Physical Sciences Research Council, UK Natural …
Analysis of RTG crane load demand and short-term load forecasting
F Alasali, S Haben, V Becerra, W Holderbaum
Int J Comput Commun Instrumen Eng 3 (2), 448-454, 2016
授權規定： UK Engineering and Physical Sciences Research Council
Impacts of building load dispersion level on its load forecasting accuracy: Data or algorithms? Importance of reliability and interpretability in machine learning
M Hu, B Stephen, J Browell, S Haben, DCH Wallom
Energy and Buildings 285, 112896, 2023
授權規定： UK Engineering and Physical Sciences Research Council
Dirichlet sampled capacity and loss estimation for LV distribution networks with partial observability
R Telford, B Stephen, J Browell, S Haben
IEEE Transactions on Power Delivery, 2020
授權規定： UK Engineering and Physical Sciences Research Council
Conditioning and Preconditioning of the Optimal State Estimation Problem
SA Haben, AS Lawless, NK Nichols
Dept of Mathematics & Statistics, University of Reading, 2014
授權規定： UK Engineering and Physical Sciences Research Council
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