Modelling impact of PV battery systems on energy consumption and bill savings of Australian houses under alternative tariff structures Z Ren, G Grozev, A Higgins Renewable Energy 89, 317-330, 2016 | 105 | 2016 |
Decomposition and statistical analysis for regional electricity demand forecasting C Wang, G Grozev, S Seo Energy 41 (1), 313-325, 2012 | 92 | 2012 |
Empirical observations of bidding patterns in Australia's National Electricity Market X Hu, G Grozev, D Batten Energy Policy 33 (16), 2075-2086, 2005 | 66 | 2005 |
Spatio-temporal modelling of electric vehicle charging demand and impacts on peak household electrical load P Paevere, A Higgins, Z Ren, M Horn, G Grozev, C McNamara Sustainability Science 9 (1), 61-76, 2014 | 65 | 2014 |
Analysis of household electricity consumption behaviours: Impact of domestic electricity generation O Motlagh, P Paevere, TS Hong, G Grozev Applied Mathematics and Computation 270, 165-178, 2015 | 48 | 2015 |
NEMSIM: finding ways to reduce greenhouse gas emissions using multi-agent electricity modelling D Batten, G Grozev Complex Science for a Complex World: Exploring Human Ecosystems with Agents …, 2006 | 40 | 2006 |
Knowledge-Mining the Australian Smart Grid Smart City Data: A Statistical-Neural Approach to Demand-Response Analysis O Motlagh, G Foliente, G Grozev Planning Support Systems and Smart Cities, 189-207, 2015 | 36 | 2015 |
NEMSIM: Agent-based simulator for Australia's national electricity market G Grozev, D Batten, M Anderson, G Lewis, J Mo, J Katzfey SimTecT 2005 Conference Proceedings, 2005 | 34 | 2005 |
The challenge of adapting centralised electricity systems: peak demand and maladaptation in South East Queensland, Australia G Quezada, G Grozev, S Seo, CH Wang Regional Environmental Change 14 (2), 463-473, 2014 | 31 | 2014 |
Assessment of end-use electricity consumption and peak demand by Townsville's housing stock Z Ren, P Paevere, G Grozev, S Egan, J Anticev Energy Policy 61, 888-893, 2013 | 21 | 2013 |
Modelling future uptake of distributed energy resources under alternative tariff structures A Higgins, G Grozev, Z Ren, S Garner, G Walden, M Taylor Energy 74, 455-463, 2014 | 18 | 2014 |
Cooling energy consumption and reduction effect for residential buildings in South East Queensland, Australia S Seo, CH Wang, G Grozev Building and Environment 59, 408-416, 2013 | 16 | 2013 |
Development of application-specific adjacency models using fuzzy cognitive map O Motlagh, TS Hong, SM Homayouni, G Grozev, EI Papageorgiou Journal of Computational and Applied Mathematics 270, 178-187, 2014 | 11 | 2014 |
Spatial modelling of electric vehicle charging demand and impacts on peak household electrical load in Victoria, Australia P Paevere, A Higgins, Z Ren, G Grozev, M Horn, C McNamara, YB Khoo, ... Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO), 2012 | 11 | 2012 |
Impacts of feed-in tariff and metering types on electricity consumption efficiency in Australia O Motlagh, G Grozev, G Foliente 21st International Congress on Modelling and Simulation, Gold Coast, 2015 | 9 | 2015 |
Modelling australia’s national electricity market using NEMSIM P Chand, G Grozev, P da Silva, M Thatcher Proceedings of SimTecT, 2008 | 9 | 2008 |
A Neural Approach to Electricity Demand Forecasting O Motlagh, G Grozev, EI Papageorgiou Artificial Neural Network Modelling, 281-306, 2016 | 8 | 2016 |
A neural approach for estimation of per capita electricity consumption due to age and income O Motlagh, G Grozev, CH Wang, M James Neural Computing and Applications 28 (7), 1747-1761, 2017 | 6 | 2017 |
Electric Vehicles: New Problem or Distributed Energy Asset G Platt, P Paevere, A Higgins, G Grozev Distributed Generation and its Implications for the Utility Industry, 335-355, 2014 | 5 | 2014 |
Adaptation to peak electricity demand due to climate change and population growth on the Gold Coast G Grozev, CH Wang, S Seo, S Egan, M Syme CSIRO, Melbourne, 2011 | 4 | 2011 |