| Detecting click fraud in online advertising: a data mining approach R Oentaryo, EP Lim, M Finegold, D Lo, F Zhu, C Phua, EY Cheu, GE Yap, ... The Journal of Machine Learning Research 15 (1), 99-140, 2014 | 68 | 2014 |
| Ensemble prediction model with expert selection for electricity price forecasting B Neupane, WL Woon, Z Aung Energies 10 (1), 77, 2017 | 35 | 2017 |
| Artificial neural network-based electricity price forecasting for smart grid deployment B Neupane, KS Perera, Z Aung, WL Woon 2012 International Conference on Computer Systems and Industrial Informatics …, 2012 | 32 | 2012 |
| Towards flexibility detection in device-level energy consumption B Neupane, TB Pedersen, B Thiesson International Workshop on Data Analytics for Renewable Energy Integration, 1-16, 2014 | 29 | 2014 |
| Generation and evaluation of flex-offers from flexible electrical devices B Neupane, L Šikšnys, TB Pedersen Proceedings of the Eighth International Conference on Future Energy Systems …, 2017 | 22 | 2017 |
| A novel ensemble learning-based approach for click fraud detection in mobile advertising KS Perera, B Neupane, MA Faisal, Z Aung, WL Woon Mining Intelligence and Knowledge Exploration, 370-382, 2013 | 22 | 2013 |
| A new image edge detection method using quality-based clustering B Neupane, Z Aung, WL Woon Proceedings of the 10th IASTED International Conference on Visualization …, 2012 | 21 | 2012 |
| Evaluating the value of flexibility in energy regulation markets B Neupane, TB Pedersen, B Thiesson Proceedings of the 2015 ACM Sixth International Conference on Future Energy …, 2015 | 18 | 2015 |
| Modeling and managing energy flexibility using flexoffers TB Pedersen, L Šikšnys, B Neupane 2018 IEEE International Conference on Communications, Control, and Computing …, 2018 | 8 | 2018 |
| Utilizing device-level demand forecasting for flexibility markets B Neupane, TB Pedersen, B Thiesson Proceedings of the Ninth International Conference on Future Energy Systems …, 2018 | 8 | 2018 |
| Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems L Šikšnys, TB Pedersen, M Aftab, B Neupane Proceedings of the Tenth ACM International Conference on Future Energy …, 2019 | 6 | 2019 |
| Adaptive user-oriented direct load-control of residential flexible devices D Frazzetto, B Neupane, TB Pedersen, TD Nielsen Proceedings of the Ninth International Conference on Future Energy Systems, 1-11, 2018 | 6 | 2018 |
| Predictive Data Analytics for Energy Demand Flexibility B Neupane Aalborg Universitetsforlag, 2017 | 4 | 2017 |
| Ensemble Learning-based Electricity Price Forecasting for Smart Grid Deployment B Neupane Master’s Thesis, Masdar Institute of Science and Technology, Abu Dhabi, UAE …, 2013 | 4 | 2013 |
| A novel approach based on ensemble learning for fraud detection in mobile advertising KS Perera, B Neupane, MA Faisal, Z Aung, WL Woon, A Dhabi Proceedings of the 2012 Workshop on Fraud Detection in Mobile Advertising (FDMA), 2012 | 3 | 2012 |
| pgFMU: Integrating Data Management with Physical System Modelling O Rybnytska, L Siksnys, TB Pedersen, B Neupane Proceedings of the 23rd International Conference on Extending Database …, 2020 | 1 | 2020 |
| A value-based evaluation methodology for renewable energy supply prediction R Ulbricht, B Neupane, M Hahmann, W Lehner | 1 | |
| Utilizing Device-level Demand Forecasting for Flexibility Markets-Full Version B Neupane, TB Pedersen, B Thiesson arXiv preprint arXiv:1805.00702, 2018 | | 2018 |
| DeMand: A Tool for Evaluating and Comparing Device-Level Demand and Supply Forecast Models. B Neupane, L Siksnys, TB Pedersen EDBT/ICDT Workshops, 2016 | | 2016 |
