Petros Theodorou

Dr. Petros Theodorou

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Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 July 2008 in Energy Policy
Verified
Journal Article
Closed access
PTPetros Theodorou
Petros Theodorou
DKDimitrios Karyampas
Dimitrios Karyampas

1 August 1996 in International Journal of Production Economics
Verified
Journal Article
Closed access
VMVassiliki Manthou
Vassiliki Manthou
MVMaro Vlachopoulou
Maro Vlachopoulou
PTPetros Theodorou
Petros Theodorou

1 August 2019 in Sustainable Energy Technologies and Assessments
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Journal Article
Closed access
MKM.E. Kounalakis
M.E. Kounalakis
PTPetros Theodorou
Petros Theodorou

1 January 2024 in Data Science in Finance and Economics
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Journal Article
Open access
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PTPetros Theodorou
Petros Theodorou
TTTheodoros Theodorou
Theodoros Theodorou
Around 333BC, Diogenes Laertius cited (Greek quote): "οὐκ ἐν τῷ μεγάλῳ τὸ εὖ…, ἀλλ᾿ ἐν τῷ εὖ τὸ μέγα", which means that volume (big data: tera, peta, velocity and variety) doesn't guarantee quality. Furthermore, Protagoras's doctrine about homo mensura and the Socratic Maieutic method evidences demonstrated the way that queries (SQL) on big data can play on specific needs when crafted, such as turning big data into knowledge and a competitive advantage. In this research, an alternative to the data-driven approach will be propounded with the development of the strategic alignment model (SAM) based on the principles of Greek philosophy. The SAM model will support decisions of big data analytics structure with strategies to fit and align in a way to create a competitive advantage. Mathematical formulation of the model will help to optimize a competitive advantage through the economic value added (EVA) to guide the proper strategy and big data analytics structure in a holistic framework. Conclusions will be drawn on how strategy and the structure of big data analytics can be aligned.

1 July 2025 in Proceedings of the Institution of Civil Engineers - Energy
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Journal Article
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PTPetros Theodorou
Petros Theodorou
The maturation of renewable energy technologies has brought them to a point of ‘socket parity’, enabling direct competition with traditional energy generation. However, this milestone introduces a critical challenge named price cannibalisation, where excess renewable supply leads to price erosion in energy markets. This research introduces an innovative pricing model that accounts for marginal costs and system price erosion, integrating lognormal and Poisson distributions. The model leverages metrics such as market tightness and capacity utilisation to address complexities of renewables integration. Key innovation is incorporation of zero marginal cost production uncertainties, with important implications for pricing dynamics. Specifically, the model integrates expected production, weighted by Weibull distribution, to capture full spectrum of wind speeds while solar irradiation is weighted by gamma distribution. This novel approach transforms the typically stochastic nature of renewables into a deterministic framework, focusing on average effects of wind and solar rather than modelling full variability. Our findings validate the hypothesis that price cannibalisation influenced more by utilisation than by the level of penetration or tightness. These results present a breakthrough in energy pricing, offering valuable insights for simulation, market design, and energy policy.