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K
Kasun Bandara
The University of Melbourne
22
H指数
71
论文数
2.6K
被引数
0
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21
发表时间
发表时间
IF
被引数
Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
基于注意力机制的深度神经网络用于云运动预测的分布式太阳能发电预测
Energy
IF
9.4
2026-07-21
0
OA
AI
Maneesha Perera; Julian De Hoog; Kasun Bandara; Hansani Weeratunge; Saman Halgamuge
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Coupling Rainfall Intensity and Satellite-Derived Soil Moisture for Time of Concentration Prediction: A Data-Driven Hydrological Approach to Enhance Climate Responsiveness
耦合降雨强度与卫星反演土壤湿度进行集流时间预测:一种提升气候响应性的数据驱动水文方法
Hydrology 2025, Vol. 12, Page 264
IF
0
2025-10-06
0
OA
AI
Kasun Bandara; Kavini Pabasara; Luminda Gunawardhana; Janaka Bamunawala; Jeewanthi Sirisena; Lalith Rajapakse
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Enhancing Demand Forecasting in Retail: A Comprehensive Analysis of Sales Promotional Effects on the Entire Demand Life Cycle
提升零售业需求预测:销售促销效应对整个需求生命周期的全面分析
JOURNAL OF FORECASTING
IF
2.7
2025-10-01
0
OA
AI
Hewage, Harsha Chamara; Perera, H. Niles; Bandara, Kasun
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Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
APPLIED ENERGY
IF
11
2024-05-01
6
OA
AI
Perera, Maneesha; De Hoog, Julian; Bandara, Kasun; Senanayake, Damith; Halgamuge, Saman
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Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics
IEEE ACCESS
IF
3.6
2024-01-01
4
PRE
AI
Witharama, W. M. N.; Bandara, K. M. D. P.; Azeez, M. I.; Bandara, Kasun; Logeeshan, V.; Wanigasekara, Chathura
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Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2022-11-01
24
OA
AI
Perera, Maneesha; De Hoog, Julian; Bandara, Kasun; Halgamuge, Saman
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A fast and scalable ensemble of global models with long memory and data partitioning for the M5 forecasting competition
INTERNATIONAL JOURNAL OF FORECASTING
IF
7.1
2022-10-01
2
PRE
AI
Bandara, Kasun; Hewamalage, Hansika; Godahewa, Rakshitha; Gamakumara, Puwasala
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Can machine learning improve small area population forecasts? A forecast combination approach
机器学习可以改善小区域人口预测吗?一种预测组合方法
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
IF
8.3
2022-07-01
9
PRE
AI
Grossman, Irina; Bandara, Kasun; Wilson, Tom; Kirley, Michael
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Grain-scale analysis of proppant crushing and embedment using calibrated discrete element models
ACTA GEOTECHNICA
IF
5.7
2022-06-27
10
OA
AI
Bandara, K. M. A. S.; Ranjith, P. G.; Zheng, W.; Tannant, D. D.; De Silva, V. R. S.; Rathnaweera, T. D.
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Experimental characterization of time-dependent mechanical behaviours of frac sand at high compressive stresses and implication on long-term proppant conductivity
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
IF
4.2
2022-04-07
4
PRE
AI
Sanchez, Diego; Gilchrist, Drew; Yang, Shengqi; Bandara, K. M. A. S.; Gamage, Ranjith Pathegama; Zheng, Wenbo
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Global models for time series forecasting: A Simulation study
时间序列预测的全局模型: 模拟研究
PATTERN RECOGNITION
IF
7.6
2022-04-01
36
OA
AI
Hewamalage, Hansika; Bergmeir, Christoph; Bandara, Kasun
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Ensembles of localised models for time series forecasting
用于时间序列预测的本地化模型的集合
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2021-12-01
19
OA
AI
Godahewa, Rakshitha; Bandara, Kasun; Webb, Geoffrey, I; Smyl, Slawek; Bergmeir, Christoph
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Improving the accuracy of global forecasting models using time series data augmentation
利用时间序列数据增强提高全球预测模型的准确性
PATTERN RECOGNITION
IF
7.6
2021-12-01
78
OA
AI
Bandara, Kasun; Hewamalage, Hansika; Liu, Yuan-Hao; Kang, Yanfei; Bergmeir, Christoph
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Crushing and embedment of proppant packs under cyclic loading: An insight to enhanced unconventional oil/gas recovery
循环载荷下支撑剂充填的破碎和嵌入: 提高非常规油气采收率的见解
GEOSCIENCE FRONTIERS
IF
8.9
2021-11-01
39
OA
AI
Bandara, K. M. A. S.; Ranjith, P. G.; Rathnaweera, T. D.; Wanniarachchi, W. A. M.; Yang, S. Q.
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An experimental investigation of the effect of long-term, time-dependent proppant embedment on fracture permeability and fracture aperture reduction
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
IF
7.5
2021-08-01
35
PRE
AI
Bandara, K. M. A. S.; Ranjith, P. G.; Haque, A.; Wanniarachchi, W. A. M.; Zheng, W.; Rathnaweera, T. D.
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A Coupled X-Ray Imaging and Experimental Permeability Study of Propped Hydraulically Induced Fractures
ROCK MECHANICS AND ROCK ENGINEERING
IF
6.6
2021-07-27
12
PRE
AI
Bandara, K. M. A. S.; Ranjith, P. G.; Kumari, W. G. P.
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LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns
Lstm-msnet: 利用具有多个季节模式的相关时间序列集的预测
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF
8.9
2021-04-01
110
OA
AI
Bandara, Kasun; Bergmeir, Christoph; Hewamalage, Hansika
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Recurrent Neural Networks for Time Series Forecasting: Current status and future directions
INTERNATIONAL JOURNAL OF FORECASTING
IF
7.1
2021-01-01
406
OA
AI
Hewamalage, Hansika; Bergmeir, Christoph; Bandara, Kasun
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Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2020-02-01
202
OA
AI
Bandara, Kasun; Bergmeir, Christoph; Smyl, Slawek
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Stress state and stress path evaluation to address uncertainties in reservoir rock failure in CO2 sequestration in deep saline aquifers: An experimental study of the Hawkesbury sandstone formation
JOURNAL OF CO2 UTILIZATION
IF
8.4
2018-07-01
12
PRE
AI
Rathnaweera, T. D.; Ranjith, P. G.; Perera, M. S. A.; Wanniarachchi, W. A. M.; Bandara, K. M. A. S.
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研究方向
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合作学者
合作期刊
P
P.G. Ranjith
H 指数: 102 · 论文数: 832
G
Geoffrey I. Webb
H 指数: 77 · 论文数: 1.3K
S
Sheng‐Qi Yang
H 指数: 70 · 论文数: 349
M
M.S.A. Perera
H 指数: 58 · 论文数: 175
S
Saman Halgamuge
H 指数: 49 · 论文数: 375
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