Publications

Theodorou, E. & Spiliotis, E. (2023). Better forecasts or more appropriate stock control policies? Foresight: The International Journal of Applied Forecasting, Q1 2023 (Issue 68), 40-44

Hamoudia, M., Makridakis, S. & Spiliotis, E. (2023). Forecasting with Artificial Intelligence: Theory and Applications, Palgrave Macmillan – Springer Nature Switzerland. Part of the book series: Palgrave Advances in the Economics of Innovation and Technology

Spiliotis, E. (2023). Time Series Forecasting with Statistical, Machine Learning, and Deep Learning Methods: Past, Present, and Future. In: Hamoudia, M., Makridakis, S. & Spiliotis, E. (Eds.), Forecasting with Artificial Intelligence: Theory and Applications, Chapter 3, 49-75, Palgrave Macmillan – Springer Nature Switzerland.

Semenoglou, A. A., Spiliotis, E. & Assimakopoulos, V. (2023). Neural Network Ensembles for Univariate Time Series Forecasting. In: Hamoudia, M., Makridakis, S. & Spiliotis, E. (Eds.), Forecasting with Artificial Intelligence: Theory and Applications, Chapter 8, 191-218, Palgrave Macmillan – Springer Nature Switzerland.

Petropoulos, F., Spiliotis, E. & Panagiotelis, A. (2023). Model combinations through revised base rates, International Journal of Forecasting, 39(3), 1477-1492

Makridakis, S., Spiliotis, E., Assimakopoulos, V., Semenoglou, A. A., Mulder, G. & Nikolopoulos, K. (2022). Statistical, Machine Learning and Deep Learning forecasting methods: Comparisons and ways forward, Journal of the Operational Research Society, 74(3), 840-859

Semenoglou, A. A., Spiliotis, E. & Assimakopoulos, V. (2023). Image-based time series forecasting: A deep convolutional neural network approach, Neural Networks, 157, 39-53

Semenoglou, A. A., Spiliotis, E. & Assimakopoulos, V. (2022). Data augmentation for univariate time series forecasting with neural networks, Pattern Recognition, 109132

Skaloumpakas, P., Spiliotis, E., Sarmas, E., Lekidis, A., Stravodimos, G., Sarigiannis, D., Makarouni, I., Marinakis, V. & Psarras, J. (2022). A multi-criteria approach for optimizing the placement of electric vehicle charging stations in highways, Energies, 15(24), 9445

Theodorou, E., Spiliotis, E. & Assimakopoulos, V. (2023). Optimizing inventory control through a data-driven and model-independent framework, EURO Journal on Transportation and Logistics, 12, 100103

Sarmas, E., Spiliotis, E., Dimitropoulos, N., Marinakis, V. & Doukas, H. (2023). Estimating the energy savings of energy efficiency actions with ensemble machine learning models, Applied Sciences, 13(4), 2749

Effrosynidis, D., Spiliotis, E., Sylaios, G. & Arampatzis, A. (2023). Time series and regression methods for univariate environmental forecasting: An empirical evaluation, Science of the Total Environment, 875, 162580

Kaltsounis, A., Spiliotis, E. & Assimakopoulos, V. (2023). Conditional temporal aggregation for time series forecasting using feature-based meta-learning, Algorithms, 16(4), 206

Tsolkas, C., Spiliotis, E., Sarmas, E., Marinakis, V. & Doukas, H. (2023). Dynamic energy management with thermal comfort forecasting, Building and Environment, 237, 110341

Sarmas, E., Skaloumpakas, P., Kafetzis, N., Spiliotis, E., Lekidis, A., Marinakis, V. & Doukas, H. (2023). Optimal site selection of electric vehicle charging stations exploiting multi-criteria decision analysis: The case of Greek municipalities, Technical Annals, 1(2)

Spiliotis, E., Petropoulos, F. & Assimakopoulos, V. (2023). On the disagreement of forecasting model selection criteria, Forecasting, 5(2), 487-498

Sarmas, E., Spiliotis, E., Stamatopoulos, E., Marinakis, V. & Doukas, H. (2023). Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models, Renewable Energy, 216, 118997

Spiliotis, E. & Petropoulos, F. (2023). On the update frequency of univariate forecasting models, European Journal of Operational Research, in press

Pelekis, S., Seisopoulos, I.K., Spiliotis, E., Pountridis, T., Karakolis, E., Mouzakitis, S. & Askounis, D. (2023). A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers, Sustainable Energy, Grids and Networks, 36, 101171

Tzortzis, A.-M., Pelekis, S., Spiliotis, E., Karakolis, E., Mouzakitis, S., Psarras, J. & Askounis, D. (2023). Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series, Mathematics, in press

Spiliotis, E. (2022). Decision Trees for Time Series Forecasting. Foresight: The International Journal of Applied Forecasting, Q1 2022 (Issue 64), 30-44

Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2022). Predicting/hypothesizing the findings of the M5 competition, International Journal of Forecasting, 38(4), 1337-1345

Abolghasemi, M., Hyndman, R. J., Spiliotis, E. & Bergmeir, C (2022). Model selection in reconciling hierarchical time series, Machine Learning, 111, 739-789

Makridakis, S., Spiliotis, E., Assimakopoulos, V., Chen, Z., Gaba, A., Tsetlin, I. & Winkler, R. L. (2022). The M5 Uncertainty competition: Results, findings and conclusions, International Journal of Forecasting, 38(4), 1365-1385

Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Taieb, S. B., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., Browell, J., Carnevale, C., Castle, J. L., Cirillo, P., Clements, M. P., Cordeiro, C., Oliveira, F. L. C., Baets, S. D., Dokumentov, A., Ellison, J., Fiszeder, P., Franses, P. H., Frazier, D. T., Gilliland, M., Gönül, M. S., Goodwin, P., Grossi, L., Grushka-Cockayne, Y., Guidolin, M., Guidolin, M., Gunter, U., Guo, X., Guseo, R., Harvey, N., Hendry, D. F., Hollyman, R., Januschowski,T., Jeon, J., Jose, V. R. R., Kang, Y., Koehler, A. B., Kolassa, S., Kourentzes, N., Leva, S., Li, F., Litsiou, K., Makridakis, S., Martin, G. M., Martinez, A. B., Meeran, S., Modis, T., Nikolopoulos, K., Önkal, D., Paccagnini, A., Panagiotelis, A., Panapakidis, I., Pavía, J. M., Pedio, M., Pedregal, D. J., Pinson, P., Ramos, P., Rapach, D. E., Reade, J. J., Rostami-Tabar, B., Rubaszek, M., Sermpinis, G., Shang, H. L., Spiliotis, E., Syntetos, A. A., Talagala, P. D., Talagala, T. S., Tashman, L., Thomakos,D., Thorarinsdottir, T., Todini, E., Arenas, J. R. T., Wang, X., Winkler, R. L., Yusupova, A., & Ziel, F. (2022). Forecasting: theory and practice, International Journal of Forecasting, 38(3), 705-871

Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2022). M5 Accuracy competition: Results, findings and conclusions, International Journal of Forecasting, 38(4), 1346-1364

Sarmas, E., Spiliotis, E., Marinakis, V., Koutselis, T. & Doukas, H. (2022). A meta-learning classification model for supporting decisions on energy efficiency investments, Energy and Buildings, 258, 111836

Sarmas, E., Spiliotis, E., Marinakis, V., Tzanes, G., Kaldellis, J. & Doukas, H. (2022). ML-based energy management of water pumping systems for the application of peak shaving in small-scale islands, Sustainable Cities and Society, 82, 103873

Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2022). Responses to the discussions and commentaries of the M5 special issue, International Journal of Forecasting, 38(4), 1569-1575

Makridakis, S., Petropoulos, F. & Spiliotis, E. (2022). Introduction to the M5 forecasting competition Special Issue, International Journal of Forecasting, 38(4), 1279-1282

Makridakis, S., Petropoulos, F. & Spiliotis, E. (2022). The M5 competition: Conclusions, International Journal of Forecasting, 38(4), 1576-1582

Spiliotis, E., Abolghasemi, M., Hyndman, R. J., Petropoulos, F. & Assimakopoulos, V. (2021).Hierarchical forecast reconciliation with machine learning, Applied Soft Computing, 38(4), 1325-1336

Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2022). The M5 competition: Background, organization and implementation , International Journal of Forecasting, 38(4), 1325-1336

Theodorou, E., Wang, S., Kang, Y., Spiliotis, E., Makridakis, S. & Assimakopoulos, V. (2022). Exploring the representativeness of the M5 competition data, International Journal of Forecasting, 38(4), 1500-1506

Spiliotis, E., Makridakis, S., Kaltsounis, A. & Assimakopoulos, V. (2021). Product sales probabilistic forecasting: An empirical evaluation using the M5 competition data, International Journal of Production Economics, 240, 108237

Makridakis, S., Fry, C., Petropoulos, F. & Spiliotis, E. (2022). The future of forecasting competitions: Design attributes and principles. INFORMS Journal on Data Science, 1(1), 96-113

Petropoulos, F. & Spiliotis, E. (2021). The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting, Forecasting, 3(3), 478-497

Spiliotis, E., Doukas, H., Assimakopoulos V. & Petropoulos, F. (2021). Forecasting week-ahead hourly electricity prices in Belgium with statistical and machine learning methods. In: Dagoumas, A. (Ed.), Mathematical Modelling of Contemporary Electricity Markets, Chapter 4, 59-74, Academic Press - Elsevier

Doukas, H., Spiliotis, E., Jafari, M. A., Giarola, S. & Nikas, A. (2021). Low-cost emissions cuts in container shipping: thinking inside the box, Transportation Research Part D: : Transport and Environment, 94, 102815

Makridakis, S. & Spiliotis, E. (2021). The M5 Competition and the Future of Human Expertise in Forecasting. Foresight: The International Journal of Applied Forecasting. Q1 2021 (Issue 60), 33-37

Koutsandreas, D., Spiliotis, E., Doukas, H. & Psarras, J. (2021). What is the macroeconomic impact of higher decarbonization speeds? The case of Greece, Energies, 14(8), 2235

Koutsandreas, D., Spiliotis, E., Petropoulos, F. & Assimakopoulos, V. (2022). On the selection of forecasting accuracy measures, Journal of the Operational Research Society, 73(5), 937-954

Semenoglou, A. A., Spiliotis, E., Makridakis, S., & Assimakopoulos, V. (2021). Investigating the accuracy of cross-learning time series forecasting methods, International Journal of Forecasting, 37(3), 1072-1084

Legaki, N.-Z., Karpouzis, K., Assimakopoulos, V. & Hamari, J. (2021). Gamification to avoid cognitive biases: An experiment of gamifying a forecasting course. Technological Forecasting and Social Change, 167, 120725

Kang, Y., Spiliotis, E., Petropoulos, F., Athiniotis, N., Li, F. & Assimakopoulos, V. (2021). Déjà vu: A data-centric forecasting approach through time series cross-similarity, Journal of Business Research, 132, 719-731

Spiliotis, E., Makridakis, S., Semenoglou, A.A. & Assimakopoulos, A. (2022). Comparison of statistical and machine learning methods for daily SKU demand forecasting, Operational Research, 22, 3037-3061

Legaki, N.-Z., Xi, N., Hamari, J., Karpouzis, K. & Assimakopoulos, V. (2020). The effect of challenge-based gamification on learning: An experiment in the context of statistics education. International Journal of Human Computer Studies, 144, 102496

Spiliotis, E., Petropoulos, F. & Nikolopoulos, K. (2020). The impact of imperfect weather forecasts on wind power forecasting performance: Evidence from two wind farms in Greece, Energies, 13(8), 1880

Sarris, D., Spiliotis, E. & Assimakopoulos, V. (2020). Exploiting resampling techniques for model selection in forecasting: An empirical evaluation using out-of-sample tests. Operational Research, 20(2), 701-721

Spiliotis, E., Arsenopoulos, A., Kanellou, E., Psarras, J. & Kontogiorgos, P. (2020). A multi-sourced data based framework for assisting utilities identify energy poor households: a case-study in Greece, Energy Sources, Part B: Economics, Planning, and Policy, 15(2), 49-71

Spiliotis, E., Assimakopoulos, V. & Makridakis, S. (2020). Generalizing the Theta method for automatic forecasting, European Journal of Operational Research, 284(2), 550-558

Spiliotis, E., Petropoulos, F., Kourentzes, N. & Assimakopoulos, V. (2019). Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption, Applied Energy, 261, 114339

Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2020). The M4 Competition: 100,000 time series and 61 forecasting methods. International Journal of Forecasting, 36(1), 54-74

Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2020). Predicting/Hypothesizing the findings of the M4 Competition. International Journal of Forecasting, 36(1), 29-36

Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2020). Responses to discussions and commentaries. International Journal of Forecasting, 36(1), 217-223

Spiliotis, E., Kouloumos, A., Assimakopoulos, V. & Makridakis, S. (2020). Are forecasting competitions data representative of the reality? International Journal of Forecasting, 36(1), 37-53

Spiliotis, E., Petropoulos, F. & Assimakopoulos, V. (2019). Improving the forecasting performance of temporal hierarchies, PLOS ONE, e0223422, 14(10), 1-21

Legaki, N.Z., Xi, N., Hamari, J. & Assimakopoulos, V. (2019). Gamification of the future: An experiment on gamifying education of forecasting. Proceedings of the Annual Hawaii International Conference on System Sciences, 2019-January, 1813–1822

Legaki, N.Z., Karpouzis, K. & Assimakopoulos, V. (2019). Using gamification to teach forecasting in a business school setting. CEUR Workshop Proceedings, 2359, 13–24

Spiliotis, E., Nikolopoulos, K. & Assimakopoulos, V. (2019). Tales from tails: On the empirical distributions of forecasting errors and their implication to risk. International Journal of Forecasting, 35(2), 687-698

Semenoglou, A. A., Spiliotis, E., Assimakopoulos, V., Makarouni, I. & Doukas, H. (2019). AI and IoT on online marine management: The case of smart routing. Envirocities e-Magazine. January 2019 (Issue 22), 44-48

Spiliotis, E., Assimakopoulos, V. & Nikolopoulos, K. (2019). Forecasting with a hybrid method utilizing data smoothing, a variation of the Theta method and shrinkage of seasonal factors. International Journal of Production Economics, 209, 92-102

Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2018). The M4 Competition: Results, findings, conclusion and way forward. International Journal of Forecasting, 34(4), 802-808

Makridakis, S., Assimakopoulos, V. & Spiliotis, E. (2018). Objectivity, reproducibility and replicability in forecasting research. International Journal of Forecasting, 34(4), 835-838

Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2018). Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLOS ONE, 13(3), 1-26

Spiliotis, E., Legaki Z. N., Assimakopoulos, V., Doukas, H. & El Moursi, M. (2018). Tracking the performance of photovoltaic systems: A tool for minimizing the risk of malfunctions and deterioration. IET Renewable Power Generation, 12(7), 815-822

Legaki, N.Z. & Assimakopoulos, V. (2018). F-LaurelXP: A gameful learning experience in forecasting. CEUR Workshop Proceedings, 2186, 1–10

Marinakis, V., Doukas, H., Spiliotis, E. & Papastamatiou, I. (2017). Decision Support for Intelligent Energy Management in Buildings Using the Thermal Comfort Model. International Journal of Computational Intelligence Systems, 10(1), 882–893

Spiliotis, E., Marinakis, V., Doukas, H. & Psarras, J. (2016). Integrating a Decision Support System with smart grid infrastructures and ICT solutions towards energy cost reduction: An action plan to optimally schedule the operation of heating and electricity systems. 7th International Conference on Information, Intelligence, Systems and Applications - IISA 2016, 1-6

Doukas, H., Marinakis, V., Spiliotis, E. & Psarras, J. (2016). OPTIMUS Decision Support Tools: Transforming Multidisciplinary Data to Energy Management Action Plans. 7th International Conference on Information, Intelligence, Systems and Applications - IISA 2016, 1-5

Spiliotis, E., Raptis, A. & Assimakopoulos V. (2016). Off-the-Shelf vs. Customized Forecasting Support Systems. Foresight: The International Journal of Applied Forecasting, Fall 2016 (Issue 43), 42-48

Spiliotis, E., Anastasopoulos, G., Dede, P., Marinakis, V. & Doukas, H. (2015). A framework for integrating user experience in action plan evaluation through social media: Transforming user generated content into knowledge to optimise energy use in buildings. 6th International Conference on Information, Intelligence, Systems and Applications - IISA 2015, 1-6

Papastamatiou, I., Doukas, H., Spiliotis, E. & Psarras, J. (2016). How “OPTIMUS” is a city in terms of energy optimization? e-SCEAF: A web based decision support tool for local authorities. Information Fusion, 29, 149-161

Androulaki, S., Doukas, H., Spiliotis, E., Papastamatiou, I. & Psarras, J. (2016). A framework to assess the behavior and performance of a city towards energy optimization. Chapter in book: Intelligent Computing Systems, Edition: 2016, Series Volume 627, Chapter: 9, Publisher: Springer-Verlag Berlin Heidelberg, Editors: Tsihrintzis, G. A., Virvou, M. & Lakhmi, C. J.

Desipri, K., Legaki, N.Z. & Assimakopoulos, V. (2014). Determinants of domestic electricity consumption and energy behavior: A Greek case study. 5th International Conference on Information, Intelligence, Systems and Applications - IISA 2014, 144-149.

Androulaki, S., Spiliotis, E., Doukas, H., Papastamatiou, I. & Psarras, J. (2014). Proposing a Smart City Energy Assessment Framework linking local vision with data sets, 5th International Conference on Information, Intelligence, Systems and Applications - IISA 2014, 50-56

Spithourakis G., Petropoulos F., Nikolopoulos K. & Assimakopoulos V. (2015). Amplifying the learning effect via a Forecasting and Foresight Support System, International Journal of Forecasting, 31(1), 20–32

Spiliotis E., Raptis A., Legaki Z.N. & Assimakopoulos V. (2015) Forecasting electrical consumption of commercial buildings using energy performance indicators. International Journal of Decision Support Systems, 1(2), 164–182

Petropoulos F., Makridakis S., Assimakopoulos V. & Nikolopoulos K. (2014) “‘Horses for Courses’ in Demand Forecasting”, European Journal of Operational Research,Vol. 237, No.1, pp. 152–163

Petropoulos F., Nikolopoulos K., Spithourakis G. and Assimakopoulos V. (2013) “Empirical heuristics for improving Intermittent Demand Forecasting”, Industrial Management & Data Systems, Vol. 113 Iss: 5, pp.683 - 696

Spithourakis G., Petropoulos F., Nikolopoulos K., and Assimakopoulos V. (2013) “A Systemic View of ADIDA framework”, IMA Management Mathematics, Vol 25, No. 2, pp. 125 - 137

Constantinidou C., Nikolopoulos K., Bougioukos N., Tsiafa E., Petropoulos F. and Assimakopoulos V. (2012) "A neural network approach for the Theta model", in: Ming M. (ed.), Information Engineering, Lecture Notes in Information Technology, Vol. 25, pp. 116-120

Nikolopoulos K., Litsa A., Petropoulos F., Metaxiotis K., and Assimakopoulos V. (2012) “A web forecasting system supporting policy implementation: the case of ‘digital planning’ in Greece”, International Journal of Business Information Systems, Vol. 11, No. 4, pp. 397-409

Nikolopoulos K., Assimakopoulos V., Bougioukos N., A. Litsa, and Petropoulos F. (2012) “The Theta model: An essential forecasting tool  for Supply Chain planning”, in: Lee G. (ed.), Advances in Automation and Robotics Vol. 2, Lecture Notes in Electrical Engineering, Vol. 123, pp. 431-437

Nikolopoulos K., Thomakos D., Petropoulos F., Litsa A. & Assimakopoulos V. (2012) “Forecasting S&P 500 with the Theta Model”, International Journal of Financial Economics and Econometrics, Accepted

Litsa A., Nikolopoulos K. and Petropoulos F. (2012) “Forecasting The Success Of Governmental ‘Incentivized’ Initiatives: Case Study Of A New Policy Promoting The Replacement of Old Household Air-conditioners”, Journal of Knowledge Management, Economics and Information Technology, Vol. 2, No. 8, pp. 1-8

Spithourakis G., Petropoulos F., Babai M.Z., Nikolopoulos K., and Assimakopoulos V. (2011) “Improving the Performance of popular Supply Chain forecasting techniques”, Supply Chain Forum, an International Journal, Vol. 12, No. 4, pp. 16-25

Ktena S.I., Petropoulos F., Koutsoliakos P., Mihos D. and Assimakopoulos V. (2011) “Forecasting Sales in a Sugar Factory”, Journal of Knowledge Management, Economics and Information Technology, Vol. 1, No. 7, pp. 1-12

Nikolopoulos K., Litsa A., Petropoulos F., Metaxiotis K., & Assimakopoulos V. (2011). “A web-based Information System for supporting local government in policy implementation”, International Journal of Business Information Systems, Accepted

Bayias P. & Assimakopoulos V. (2011). "About the significance of national culture differences for domestic companies that expand to the international environment", International Journal of Business and Management Studies, Vol. 3, No. 2, pp. 237-247

Kastanoulia M., Petropoulos F., Litsa A., Nikitas M., Pagourtzi E., Assimakopoulos V. (2011) “Project management and financial monitoring in public sector: an information support system”, International Journal of Electronic Finance, Vol. 5, No.2  pp. 105 - 125

Nikolopoulos K., Syntetos A., Boylan J., Petropoulos F., and Assimakopoulos V. (2011) “An Aggregate - Disaggregate Intermittent Demand Approach (ADIDA) to Forecasting: An Empirical Proposition and Analysis”, Journal of the Operational Research Society, Vol. 62, pp. 544-554

Metaxiotis K., Larios Y. and Assimakopoulos V. (2010) "Strengthening Governments to Formulate Integrated Digital Strategies", Technology and Society Magazine, IEEE, Vol. 29, No. 2, pp. 54-62

Maris K., Koutsothymiou D., Petropoulos F., Petra E., Evangelopoulos P., Assimakopoulos V., and Nikolopoulos K. (2010) “A regression-based methodology for efficiently building futures’ portfolios”, Empirical Economics Letters, Accepted

Bougioukos, N., Petropoulos, F., Kapsianis, P., Nikolopoulos, K., Pagourtzi, E., and Assimakopoulos, V. (2009) “Remote access to group expertise: An essential e-operation for SMEs”, International Journal of Management and Enterprise Development, Vol.5, No.6, pp.619-633

Petropoulos F., Nikolopoulos K., and Assimakopoulos V. (2008) “An expert system for forecasting mutual funds in Greece”, International Journal of Electronic Finance, Vol.2, No.4, pp.404–418

Pagourtzi, E., Makridakis, S., Assimakopoulos, V. And Litsa, A. (2008) "The advanced Forecasting Information System PYTHIA: an application in Real Estate time series", Journal of European Real Estate Research, Vol.1, pp.114-138

Nikolopoulos, K., Goodwin, P., Patelis, A. and Assimakopoulos, V. (2007) "Forecasting with cue information: a comparison of multiple regression with alternative forecasting approaches", European Journal of Operational Research, Vol.180, No.1, pp.354-368

Pagourtzi, E., Metaxiotis, K., Nikolopoulos, K., Giannelos, K. and Assimakopoulos, V. (2007) “Real estate valuation with Artificial Intelligence approaches”, in the Special Issue on " 30 Years of Applied Research in Artificial Intelligence: New Promises Towards the Internet Age" of the International Journal of Intelligent Systems Technologies and Applications, Vol.2, No.1, pp.50-57

Pagourtzi, E., Assimakopoulos V. and Litsa A. (2007) "Theta Model forecasts quarterly & monthly Dwelling Prices in UK", Briefings in Real Estate Finance, Vol.7, pp.1-30

Maris, K., Nikolopoulos, K., Giannelos, K. and Assimakopoulos V. (2007) "Options trading driven by volatility directional accuracy”, Applied Economics, Vol.39, No.2, pp.253-260

Nikolopoulos, K., Bougioukos, N, Giannelos, K., Assimakopoulos, A. (2007) "Estimating the impact of shocks with Artificial Neural Networks", Lecture Notes in Computer Science, Vol.4669, pp.516–526

Pagourtzi, E., Nikolopoulos, K. and Assimakopoulos, V. (2006) "Architecture for a real estate analysis information system using GIS techniques integrated with Fuzzy theory", in the Special Issue on “European Real Estate Society” of the Journal of Property Investment and Finance, Vol.24, No.1, pp.68-78

Petropoulos, C., Nikolopoulos, K. Patelis, A., Assimakopoulos, V. and Askounis, D. (2006) “Tourism Technical Analysis System”, Tourism Economics, Vol.12, No.4, pp.543-563

Nikolopoulos, K., Metaxiotis, K. and Assimakopoulos, V. (2006) “eforecasting: challenges and opportunities”, in the Special Issue on "E-business in 21st Century Environments" of the International Journal of Business Performance Management, Vol.8, No.1, pp.93-106

Patelis, A., Petropoulos, C., Nikolopoulos, K., Assimakopoulos, V. and Lin, B-S. (2005) “Tourism planning decision support within an e-government framework”, International Journal of Electronic Government, Vol.2, No.2, pp.134-143

Petropoulos, C., Patelis, A., Nikolopoulos, K. and Assimakopoulos, V. (2005) “A technical analysis approach to tourism demand forecasting”, Applied Economics Letters, Vol.12, No.6, pp.327-333

Maris, K., Metaxiotis, K., Pantou, G., Nikolopoulos, K., Tavanidou, E. and Assimakopoulos, V. (2004) “D-TIFIS: A decision support system for options trading”, Information Management & Computer Security, Vol.12, No.1, pp.45-65

Maris, K., Pantou, G., Nikolopoulos, K., Pagourtzi, E. and Assimakopoulos, V. (2004) “A study of financial volatility forecasting techniques in the FTSE/ASE 20 index”, Applied Economics Letters, Vol.11, No.7, pp.453-457

Pagourtzi, E., Nikolopoulos, and Assimakopoulos, V. (2003) "GFIS (Geographic Forecasting Information System): A case study in water resources management", The GLOBAL NEST: the International Journal, Vol.5, No.2, pp.11-18

Tavanidou, E., Nikolopoulos, K., Metaxiotis, K. and Assimakopoulos, V. (2003) “FCP: Forecasting Community Portal”, WSEAS Transactions on Computers, Vol.2, No.4, pp.955-960

Nikolopoulos, K., Maris, K., Tavanidou, E., Metaxiotis, K. and Assimakopoulos, V. (2003) “Supporting Business Decisions through Forecasting: A Case Study in a Greek Tobacco Distribution Company”, Journal of Information & Knowledge Management, Vol.2, No.3, pp.237-244

Nikolopoulos, K., Metaxiotis, K., Assimakopoulos, V. and Tavanidou, E. (2003) “A First Approach to E-Forecasting: A Survey of Forecasting Web-Services”, Information Management & Computer Security, Vol.11, No.3, pp.146-152

Nikolopoulos, K., Maris, K., Pantou, G., Metaxiotis, K. and Assimakopoulos, V. (2003) “Forecasting Volatility with the Theta Model”, Empirical Economics Letters, Vol.2, No.6, pp.216-227

Tavanidou, E., Nikolopoulos, K., Metaxiotis, K. and Assimakopoulos, V. (2003) “eTIFIS: An innovative e-Forecasting Web application”, International Journal of Software Engineering and Knowledge Engineering, Vol.13, No.2, pp.215-236

Patelis, A., Nikolopoulos, K., Metaxiotis, K. and Assimakopoulos, V. (2003) "FORTV: Decision Support System for Forecasting Television Viewership", Journal of Computer Information Systems, Vol.43, No.4, pp.100-107

Petropoulos, C., Patelis, A., Metaxiotis, K., Nikolopoulos, K. and Assimakopoulos, V. (2003) “SFTIS: A decision support system for tourism demand forecasting”, Journal of Computer Information Systems, Vol.44, No.1, pp.21-32

Nikolopoulos, K. and Assimakopoulos, V. (2003) “Theta Intelligent Forecasting Information System”, Industrial Management and Data Systems, Vol.103, No.9, pp.711-726

Nikolopoulos, K., Metaxiotis, K., Lekatis, N. and Assimakopoulos, V. (2003) "Integrating Industrial Maintenance Strategy into ERP", Industrial Management and Data Systems, Vol.103, No.3, pp.184-191

Assimakopoulos V., Vafopoulos M. (2000) “Financial Volatility Forecasting”, Economic & Financial Modeling, Butterworth Pub. Co, Vol.10, No.4

Assimakopoulos V., Nikolopoulos K. (2000) "The Theta Model: A Decomposition Approach to Forecasting". International Journal of Forecasting, North-Holland, Vol.16, No.4

Assimakopoulos V., Askounis D. and Psarras J., (1999) "Expert Systems: Rational Application of Best Available Technique (BAT)", Economic & Financial Computing, Butterworth Pub. Co, Vol.9, No.4

Assimakopoulos V., (1995) “A Successive Filtering Technique for Identifying Long- term Trends”, Journal of Forecasting, John Wiley, Vol.14, pp.35-43

Mitropoulos S., Assimakopoulos V. and Charalabidis J. (1995) “Two dimensional colour pattern load analysis: A tool supporting demand-side management”, Decision Support Systems, North Hollard, Vol.13

Askounis D., Assimakopoulos V. and Psarras J. (1994) “Fault tolerance in supervisory control systems: a knowledge -based approach”, Journal of Intelligent Manufacturing, Chapman & Hall, Vol.5, pp.323-331

Assimakopoulos V., Kindinis G. and Frantzeskakis J. (1994) “Interurban Accident prediction by Administrative Area”, Institute of Transportation Engineers Journal, Vol.64, No.1

Assimakopoulos V., Charalambopoulos C. and Samouilidis J.-E. (1993) “Combining Decision Support Tools and Knowledge -Based Approach for the Development of an Integrated System for Regional Energy Planning”, Energy Systems and Policy, Taylor and Francis, Vol.15, pp.245-255

Assimakopoulos V. and Christodoulou N. (1992) "A Simple Method of Assessing the Impact of Risky Conditions on Specific Accident Types", Traffic Engineering & Control, Vol.48

Assimakopoulos V. and Konida A. (1992) "An Object Oriented Approach to Forecasting", International Journal of Forecasting, Vol.8, No.4

Assimakopoulos V., Stergiou B. and Konida A. (1992) "Trends in Road Safety Process: The Greek Traffic System", Journal of Safety Research, Pergamon Press, Vol.23, No.3

Vlondakis G. and Assimakopoulos V. (1992) "IBAS : A Knowledge Based Approach to Financial Planning", Economic & Financial Computing, Butterworth Pub. Co., Vol.2, No.2

Assimakopoulos V. and Psarras J. (1992) "A Double Horizon Peak Demand Forecast Model", Energy Economics, Butterworth Ρub. Co., Vol.14, No.4

Assimakopoulos V. (1992) "A Macroscopic Impact Analysis of the Safety Efforts", Accident Analysis & Prevention, Pergamon Press, Vol.12

Assimakopoulos V. (1992) "Residential Energy Demand Modeling in Developing Regions: The Use of Multivariate Statistical Techniques", Energy Economics, Butterworth Pub. Co., Vol.14, No.1

Assimakopoulos V. and Domenikos H.G. (1991) "Consumption Preferences Structure of Greek Households", Energy Economics, Butterworth Pub. Co, Vol.13, No.3

Mentzas G. N., Assimakopoulos V., Capros P. and Samouilidis J.-E. (1988) "Economic Implications of Energy Development in a Region", Energy Systems and Policy, Vol.12, No.2, 209, 92-102