Prediction Interval in Renewable Energy Forecasting: A Comprehensive Review of Uncertainty Quantification Methods.

Michael Johnstone

Nazmus Sakib Mohammad Anwar Hosen Burhan Khan Bruce Gunn Michael Johnstone Prediction Interval in Renewable Energy Forecasting: A Comprehensive Review of Uncertainty Quantification Methods. 185466-185492 2025 13 IEEE Access https://doi.org/10.1109/ACCESS.2025.3625924 db/journals/access/access13.html#SakibHKGJ25

Tanzila Arafin Anwar Hosen Zoran Najdovski Lei Wei 0002 Mohammad Rokonuzzaman Michael Johnstone Advances and Trends in Terrain Classification Methods for Off-Road Perception. 3515-3544 2025 October 42 J. Field Robotics 7 https://doi.org/10.1002/rob.22586 db/journals/jfr/jfr42.html#ArafinHNWRJ25 streams/journals/jfr

Mohammad Omar Faruk Nazmus Sakib Mohammad Anwar Hosen Michael Johnstone Exploring Backbones for DeepLabv3+ in Semantic Segmentation for Driving Scene Understanding. SMC 2025 285-290 conf/smc/2025 https://doi.org/10.1109/SMC58881.2025.11342989 db/conf/smc/smc2025.html#FarukSHJ25 streams/conf/smc Nazmus Sakib Mohammad Anwar Hosen Burhan Khan Bruce Gunn Michael Johnstone Enhancing Biogas Energy Production Forecasting with Box-Cox Transformation and Prediction Interval Methods. 1-8 2025 SysCon https://doi.org/10.1109/SysCon64521.2025.11014866 conf/syscon/2025 db/conf/syscon/syscon2025.html#SakibHKGJ25 Burhan Khan Michael Johnstone Douglas C. Creighton A Many-objective Evolutionary Algorithm Approach for Graph Visualization. 1-7 2024 SysCon https://doi.org/10.1109/SysCon61195.2024.10553494 conf/syscon/2024 db/conf/syscon/syscon2024.html#KhanJC24

Ngoc Duy Nguyen Thanh Thi Nguyen 0001 Nhat Truong Pham Hai Nguyen Dang Tu Nguyen Thanh Dang Nguyen Chee Peng Lim Michael Johnstone Asim Bhatti Douglas C. Creighton Saeid Nahavandi Towards designing a generic and comprehensive deep reinforcement learning framework. 2967-2988 2023 53 Appl. Intell. 3 https://doi.org/10.1007/s10489-022-03550-z db/journals/apin/apin53.html#NguyenNPNNNLJBC23

Yit Hong Choo Zheng Cai Vu Le 0001 Michael Johnstone Douglas C. Creighton Chee Peng Lim Enhancing the Harris' Hawk optimiser for single- and multi-objective optimisation. 16675-16715 2023 November 27 Soft Comput. 22 https://doi.org/10.1007/s00500-023-08952-w db/journals/soco/soco27.html#ChooCLJCL23

Haafizah Rameeza Shaukat Bruce Gunn Michael Johnstone Douglas C. Creighton Computation of Minimum Number of Automated Guided Vehicles (AGVs) with Battery Charging. 85-90 2023 IEEA https://doi.org/10.1145/3594692.3594706 https://www.wikidata.org/entity/Q130958863 conf/ieea/2023 db/conf/ieea/ieea2023.html#ShaukatGJC23 Bruce Gunn Imali T. Hettiarachchi Michael Johnstone Vu Le 0001 Douglas C. Creighton Luke Preston Improving high value manufacturing with simulation-based Bayesian Optimisation. 1-8 2022 SysCon https://doi.org/10.1109/SysCon53536.2022.9773798 conf/syscon/2022 db/conf/syscon/syscon2022.html#GunnHJLCP22

James Zhang Michael Johnstone Vu Le 0001 Burhan Khan Mohammad Anwar Hosen Douglas C. Creighton Jessica Carney Andy Wilson Michael Lynch Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling. 115684 2021 186 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2021.115684 db/journals/eswa/eswa186.html#ZhangJLKHCCWL21

Muhammad Umer Hashmi Ngoc Duy Nguyen Michael Johnstone Kathryn Backholer Asim Bhatti Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms. 68-80 2021 FDSE https://doi.org/10.1007/978-3-030-91387-8_5 conf/fdse/2021 db/conf/fdse/fdse2021.html#HashmiNJBB21

Joshua Hayward Saraya Morton Michael Johnstone Douglas C. Creighton Steven Allender Tools and analytic techniques to synthesise community knowledge in CBPR using computer-mediated participatory system modelling. 2020 3 npj Digit. Medicine https://doi.org/10.1038/s41746-020-0230-x https://www.wikidata.org/entity/Q90057535 db/journals/npjdm/npjdm3.html#HaywardMJCA20

Burhan Khan Samer Hanoun Michael Johnstone Chee Peng Lim Douglas C. Creighton Saeid Nahavandi A scalarization-based dominance evolutionary algorithm for many-objective optimization. 236-252 2019 474 Inf. Sci. https://doi.org/10.1016/j.ins.2018.09.031 https://www.wikidata.org/entity/Q129249587 db/journals/isci/isci474.html#KhanHJLCN19

Burhan Khan Samer Hanoun Michael Johnstone Chee Peng Lim Douglas C. Creighton Saeid Nahavandi An Improved Scalarization-based Dominance Evolutionary Algorithm for Many-Objective Optimization. 1-5 2019 SysCon https://doi.org/10.1109/SYSCON.2019.8836946 conf/syscon/2019 db/conf/syscon/syscon2019.html#KhanHJLCN19 Burhan Khan Samer Hanoun Michael Johnstone Chee Peng Lim Douglas C. Creighton Saeid Nahavandi Multi-objective job shop scheduling using i-NSGA-III. 1-5 2018 SysCon https://doi.org/10.1109/SYSCON.2018.8369558 conf/syscon/2018 db/conf/syscon/syscon2018.html#KhanHJLCN18 Samer Hanoun James Zhang Vu Le 0001 Burhan Khan Michael Johnstone Michael Fielding Asim Bhatti Douglas C. Creighton Saeid Nahavandi A framework for designing active Pan-Tilt-Zoom (PTZ) camera networks for surveillance applications. 1-6 2017 SysCon https://doi.org/10.1109/SYSCON.2017.7934744 conf/syscon/2017 db/conf/syscon/syscon2017.html#HanounZLKJFBCN17 Burhan Khan Samer Hanoun Michael Johnstone Chee Peng Lim Douglas C. Creighton Saeid Nahavandi A new decomposition-based evolutionary framework for many-objective optimization. 1-7 2017 SysCon https://doi.org/10.1109/SYSCON.2017.7934774 conf/syscon/2017 db/conf/syscon/syscon2017.html#KhanHJLCN17 Burhan Khan Michael Johnstone Samer Hanoun Chee Peng Lim Douglas C. Creighton Saeid Nahavandi Improved NSGA-III using neighborhood information and scalarization. 3033-3038 2016 SMC https://doi.org/10.1109/SMC.2016.7844702 conf/smc/2016 db/conf/smc/smc2016.html#KhanJHLCN16

Michael Johnstone Vu Thanh Le 0001 James Zhang Bruce Gunn Saeid Nahavandi Douglas C. Creighton A dynamic time warped clustering technique for discrete event simulation-based system analysis. 8078-8085 2015 42 Expert Syst. Appl. 21 https://doi.org/10.1016/j.eswa.2015.06.040 db/journals/eswa/eswa42.html#JohnstoneLZGNC15

Michael Johnstone Douglas C. Creighton Saeid Nahavandi Simulation-based baggage handling system merge analysis. 45-59 2015 53 Simul. Model. Pract. Theory https://doi.org/10.1016/j.simpat.2015.01.003 db/journals/simpra/simpra53.html#JohnstoneCN15

Burhan Khan Asim Bhatti Michael Johnstone Samer Hanoun Douglas C. Creighton Saeid Nahavandi Optimal Feature Subset Selection for Neuron Spike Sorting Using the Genetic Algorithm. 364-370 2015 ICONIP (2) https://doi.org/10.1007/978-3-319-26535-3_42 conf/iconip/2015-2 db/conf/iconip/iconip2015-2.html#KhanBJHCN15 Ana Novak Luke Tracey Vivian Nguyen Michael Johnstone Vu Le 0001 Douglas C. Creighton Evaluation of tender solutions for aviation training using discrete event simulation and best performance criteria. 2680-2691 2015 WSC https://doi.org/10.1109/WSC.2015.7408375 http://dl.acm.org/citation.cfm?id=2888927 conf/wsc/2015 db/conf/wsc/wsc2015.html#NovakTNJLC15

Gleb Beliakov Michael Johnstone Douglas C. Creighton Tim Wilkin 0001 An efficient implementation of Bailey and Borwein's algorithm for parallel random number generation on graphics processing units. 309-326 2013 95 Computing 4 https://doi.org/10.1007/s00607-012-0234-8 db/journals/computing/computing95.html#BeliakovJCW13

Gleb Beliakov Douglas C. Creighton Michael Johnstone Tim Wilkin 0001 Efficient implementation of Bailey and Borwein pseudo-random number generator based on normal numbers. 1999-2004 2013 184 Comput. Phys. Commun. 8 https://doi.org/10.1016/j.cpc.2013.03.019 db/journals/cphysics/cphysics184.html#BeliakovCJW13

Sahar Araghi Abbas Khosravi Michael Johnstone Douglas C. Creighton A novel modular Q-learning architecture to improve performance under incomplete learning in a grid soccer game. 2164-2171 2013 26 Eng. Appl. Artif. Intell. 9 https://doi.org/10.1016/j.engappai.2013.05.003 db/journals/eaai/eaai26.html#AraghiKJC13

Vu Thanh Le 0001 James Zhang Michael Johnstone Saeid Nahavandi Douglas C. Creighton Dynamic control of skilled and unskilled labour task assignments. 955-960 2013 AIM https://doi.org/10.1109/AIM.2013.6584217 conf/aimech/2013 db/conf/aimech/aim2013.html#LeZJNC13 Samer Hanoun Burhan Khan Michael Johnstone Saeid Nahavandi Douglas C. Creighton An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility. 206-211 2013 INDIN https://doi.org/10.1109/INDIN.2013.6622883 conf/indin/2013 db/conf/indin/indin2013.html#HanounKJNC13 Sahar Araghi Abbas Khosravi Michael Johnstone Douglas C. Creighton Q-learning method for controlling traffic signal phase time in a single intersection. 1261-1265 2013 ITSC https://doi.org/10.1109/ITSC.2013.6728404 conf/itsc/2013 db/conf/itsc/itsc2013.html#AraghiKJC13 Sahar Araghi Abbas Khosravi Michael Johnstone Douglas C. Creighton Intelligent Traffic Light Control of Isolated Intersections Using Machine Learning Methods. 3621-3626 2013 SMC https://doi.org/10.1109/SMC.2013.617 conf/smc/2013 db/conf/smc/smc2013.html#AraghiKJC13

Gleb Beliakov Michael Johnstone Saeid Nahavandi Computing of high breakdown regression estimators without sorting on graphics processing units. 433-447 2012 94 Computing 5 https://doi.org/10.1007/s00607-011-0183-7 db/journals/computing/computing94.html#BeliakovJN12

Vu Thanh Le 0001 James Zhang Michael Johnstone Saeid Nahavandi Douglas C. Creighton A generalised data analysis approach for baggage handling systems simulation. 1681-1687 2012 SMC https://doi.org/10.1109/ICSMC.2012.6377979 conf/smc/2012 db/conf/smc/smc2012.html#LeZJNC12 James Zhang Vu Le 0001 Michael Johnstone Saeid Nahavandi Douglas C. Creighton Discrete Event Simulation Enabled High Level Emulation of a Distribution Centre. 470-475 2012 UKSim https://doi.org/10.1109/UKSim.2012.120 https://doi.ieeecomputersociety.org/10.1109/UKSim.2012.120 conf/uksim/2012 db/conf/uksim/uksim2012.html#ZhangLJNC12

Gleb Beliakov Michael Johnstone Douglas C. Creighton Tim Wilkin 0001 Parallel random variates generator for GPUs based on normal numbers http://arxiv.org/abs/1206.1187 2012 CoRR abs/1206.1187 db/journals/corr/corr1206.html#abs-1206-1187

Michael Johnstone Douglas C. Creighton Saeid Nahavandi Status-based Routing in Baggage Handling Systems: Searching Verses Learning. 189-200 2010 40 IEEE Trans. Syst. Man Cybern. Part C 2 https://doi.org/10.1109/TSMCC.2009.2035519 db/journals/tsmc/tsmcc40.html#JohnstoneCN10

Vivian Campbell Michael Johnstone The Significance of Learning Style with Respect to Achievement in First Year Programming Students. 165-170 2010 Australian Software Engineering Conference https://doi.org/10.1109/ASWEC.2010.33 https://doi.ieeecomputersociety.org/10.1109/ASWEC.2010.33 conf/aswec/2010 db/conf/aswec/aswec2010.html#CampbellJ10 Michael Johnstone Vu Le 0001 Saeid Nahavandi Douglas C. Creighton A Dynamic Architecture for Increased Passenger Queue Model Fidelity. 3129-3139 2009 WSC https://doi.org/10.1109/WSC.2009.5429278 http://dl.acm.org/citation.cfm?id=1995881 conf/wsc/2009 db/conf/wsc/wsc2009.html#JohnstoneLNC09 Michael Johnstone Douglas C. Creighton Saeid Nahavandi Enabling industrial scale simulation/emulation models. 1028-1034 2007 WSC https://doi.org/10.1109/WSC.2007.4419701 http://dl.acm.org/citation.cfm?id=1351723 conf/wsc/2007 db/conf/wsc/wsc2007.html#JohnstoneCN07 Steven Allender Tanzila Arafin Sahar Araghi Kathryn Backholer Gleb Beliakov Asim Bhatti Zheng Cai Vivian Campbell Jessica Carney Yit Hong Choo Douglas C. Creighton Mohammad Omar Faruk Michael Fielding Bruce Gunn Samer Hanoun Muhammad Umer Hashmi Joshua Hayward Imali HettiarachchiImali T. Hettiarachchi Anwar Hosen Mohammad Anwar Hosen Burhan Khan Abbas Khosravi Vu Le 0001Vu Thanh Le 0001 Chee Peng Lim Michael Lynch Saraya Morton Saeid Nahavandi Zoran Najdovski Dang Tu Nguyen Hai Nguyen Ngoc Duy Nguyen Thanh Dang Nguyen Thanh Thi Nguyen 0001 Vivian Nguyen Ana Novak Nhat Truong Pham Luke Preston Mohammad Rokonuzzaman Nazmus Sakib Haafizah Rameeza Shaukat Luke Tracey Lei Wei 0002 Tim Wilkin 0001 Andy Wilson James Zhang