Browsing by Author "Theocharides, Spyros"
Now showing items 1-9 of 9
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Conference Object
Day-ahead Forecasting of Solar Power Output from Photovoltaic Systems Utilising Gradient Boosting Machines
Theocharides, Spyros; Venizelou, Venizelos; Makrides, George; Georghiou, George E. (2018)Accurate day-ahead photovoltaic (PV) power output forecasting techniques are important both for grid and plant operators. In this work, a machine learning model was implemented based on gradient boosting machine (GBM), for ...
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Conference Object
Intra-day Solar Irradiance Forecasting Based on Artificial Neural Networks
Theocharides, Spyros; Kynigos, Marios; Theristis, Marios; Makrides, George; Georghiou, George E. (2019)Accurate solar irradiance forecasting is important for improving forecasting precision of photovoltaic (PV) power. In this study, an intra-day (i.e. 1 to 6 hours ahead) machine learning model based on an artificial neural ...
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Conference Object
Intra-day solar irradiance forecasting for PV power generation utilising machine learning models
Theocharides, Spyros; Makrides, George; Theristis, Marios; Georghiou, George (2019)Accurate PV production forecasting is an important feature that can assist utilities and plant operators in thedirection of energy management and dispatchability planning. In this work, intra-day (1 to 3 hours ahead) solar ...
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Conference Object
Intra-hour Forecasting for a 50 MW Photovoltaic System in Uruguay: Baseline Approach
Theocharides, Spyros; Alonso-Suarez, Rodrigo; Giacosa, Gianina; Makrides, George; Theristis, Marios; Georghiou, George E. (2019)The increased penetration of photovoltaic (PV) generation introduces new challenges for the stability of electricity grids. In this work, machine learning (ML) techniques were implemented to forecast PV power production ...
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Conference Object
Machine learning algorithms for photovoltaic system power output prediction
Theocharides, Spyros; Makrides, George; Georghiou, George E.; Kyprianou, Andreas (2018)Accurate photovoltaic (PV) production forecasting is necessary for the optimal integration of this technology into existing power systems and is important for both grid and plant operators. The purpose of this work is to ...
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Conference Object
Machine learning algorithms for photovoltaic system power output prediction
Theocharides, Spyros; Makrides, George; Georghiou, George E.; Kyprianou, Andreas (2018)Accurate photovoltaic (PV) production forecasting is necessary for the optimal integration of this technology into existing power systems and is important for both grid and plant operators. The purpose of this work is to ...
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Conference Object
Optimum PV power forecasting modelling based on artificial neural networks
Theocharides, Spyros; Makrides, G.; Theristis, M.; Georghiou, George E. (2018)
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Conference Object
Residential battery storage sizing based on daily PV production and consumption load profile characterization
Afxentis, Stavros; Florides, Michalis; Theocharides, Spyros; Venizelou, Venizelos; Georghiou, George (2018)The integration of battery energy storage systems (BESS) to existing grid-connected residential PV systems can reduce issues stemming from the increased PV penetration and at the same time improve the performance of the ...
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Conference Object
Smart Metering and time-varying pricing deployment – Cost-Benefit Analysis from a real pilot-implementation
Venizelou, Venizelos; Theocharides, Spyros; Makrides, George; Georgiou, Panikos; Ayiomamitis, Nicholas; Efthymiou, Venizelos; Georghiou, George E. (2018)Electricity networks are undergoing revolutionary changes. The backbone of these changes is a modern electricity distribution system that encompasses smart technologies and services, a smart grid. As with many transformative ...