Zobrazeno 1 - 7
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pro vyhledávání: '"Liwan Liyanage Hansen"'
Publikováno v:
2018 International Conference on Machine Learning and Data Engineering (iCMLDE).
Spatio-temporal data is voluminuous, and its analysis is complex. This review of the strengths and weaknesses of selected widely applicable algorithms aims to assist the reader with the choice of methods such as clustering and prediction of real time
Publikováno v:
2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer).
Despite the ability of Artificial Neural Network (ANN) to handle nonlinear relationships in data, there are instances where ANNs have not been able to predict accurately in the presence of extremes values or other inherent groupings in the data. Alth
Publikováno v:
4th Annual International Conference on Operations Research and Statistics ( ORS 2016 ).
Publikováno v:
Computer Science & Information Technology ( CS & IT ).
Accurate prediction of electricity demand can bring extensive benefits to any country as the forecast values help the relevant authorities to take decisions regarding electricity generation, transmission and distribution much appropriately. The liter
Publikováno v:
Proceedings of the International Symposium for Next Generation Infrastructure.
Electricity demand is one of the most controversial topics in Sri Lanka as the price of electricity increases rapidly, due to the scarcity of electricity generation sources to meet the demand. Fulfilling the peak demand, starting around 6.30p.m and e
Autor:
Liwan Liyanage-Hansen
Publikováno v:
Proceedings of the International Symposium for Next Generation Infrastructure.
Publikováno v:
Annual International Conference on Operations Research & Statistics; 2016, p84-90, 7p