| Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022 | 814 | 2022 |
| Day-ahead electricity price forecasting via the application of artificial neural network based models IP Panapakidis, AS Dagoumas Applied Energy 172, 132-151, 2016 | 347 | 2016 |
| Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model IP Panapakidis, AS Dagoumas Energy 118, 231-245, 2017 | 236 | 2017 |
| Pattern recognition algorithms for electricity load curve analysis of buildings IP Panapakidis, TA Papadopoulos, GC Christoforidis, GK Papagiannis Energy and Buildings 73, 137-145, 2014 | 131 | 2014 |
| Clustering based day-ahead and hour-ahead bus load forecasting models IP Panapakidis International Journal of Electrical Power & Energy Systems 80, 171-178, 2016 | 103 | 2016 |
| Impact of the penetration of renewables on flexibility needs NE Koltsaklis, AS Dagoumas, IP Panapakidis Energy Policy 109, 360-369, 2017 | 85 | 2017 |
| Comparative analysis of different grid-independent hybrid power generation systems for a residential load IP Panapakidis, DN Sarafianos, MC Alexiadis Renewable and Sustainable Energy Reviews 16 (1), 551-563, 2012 | 79 | 2012 |
| A model for the assessment of different net-metering policies GC Christoforidis, IP Panapakidis, TA Papadopoulos, GK Papagiannis, ... Energies 9 (4), 262, 2016 | 70 | 2016 |
| Load profiling in the deregulated electricity markets: A review of the applications IP Panapakidis, MC Alexiadis, GK Papagiannis 2012 9th International Conference on the European Energy Market, 1-8, 2012 | 50 | 2012 |
| Optimal selection of clustering algorithm via Multi-Criteria Decision Analysis (MCDA) for load profiling applications IP Panapakidis, GC Christoforidis Applied Sciences 8 (2), 237, 2018 | 47 | 2018 |
| An integrated model for risk management in electricity trade AS Dagoumas, NE Koltsaklis, IP Panapakidis Energy 124, 350-363, 2017 | 47 | 2017 |
| Application of hybrid computational intelligence models in short-term bus load forecasting IP Panapakidis Expert Systems with Applications 54, 105-120, 2016 | 40 | 2016 |
| Impact of policy incentives on the promotion of integrated PV and battery storage systems: a techno‐economic assessment AI Nousdilis, GC Kryonidis, EO Kontis, GA Barzegkar‐Ntovom, ... IET Renewable Power Generation 14 (7), 1174-1183, 2020 | 39 | 2020 |
| Techno-economic analysis of a stand-alone hybrid system: Application in donoussa island, greece M Katsivelakis, D Bargiotas, A Daskalopulu, IP Panapakidis, L Tsoukalas Energies 14 (7), 1868, 2021 | 37 | 2021 |
| Smart home energy management processes support through machine learning algorithms N Koltsaklis, I Panapakidis, G Christoforidis, J Knápek Energy Reports 8, 1-6, 2022 | 32 | 2022 |
| Enhancing the clustering process in the category model load profiling IP Panapakidis, MC Alexiadis, GK Papagiannis IET Generation, Transmission & Distribution 9 (7), 655-665, 2015 | 32 | 2015 |
| Forecasting the Fuel Consumption of Passenger Ships with a Combination of Shallow and Deep Learning I Panapakidis, VM Sourtzi, A Dagoumas Electronics 9 (776), 1-25, 2020 | 31 | 2020 |
| A prosumer model based on smart home energy management and forecasting techniques N Koltsaklis, IP Panapakidis, D Pozo, GC Christoforidis Energies 14 (6), 1724, 2021 | 30 | 2021 |
| Evaluation of the performance of clustering algorithms for a high voltage industrial consumer I Panapakidis, M Alexiadis, G Papagiannis Engineering Applications of Artificial Intelligence 38, 1-13, 2015 | 28 | 2015 |
| Electricity customer characterization based on different representative load curves IP Panapakidis, MC Alexiadis, GK Papagiannis 2012 9th International Conference on the European Energy Market, 1-8, 2012 | 27 | 2012 |
