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Data Driven Update of Load Forecasts in Smart Power Systems using Fuzzy Fusion of Learning GPs (2021)
Conference Proceeding
Alamaniotis, M., Martinez-Molina, A., & Karagiannis, G. (2021). Data Driven Update of Load Forecasts in Smart Power Systems using Fuzzy Fusion of Learning GPs. . https://doi.org/10.1109/powertech46648.2021.9494757

One of the pillars in developing smart power systems is the use of load forecasting methods. In particular load forecasting accommodates decision making pertained to the operation of power market. In this paper, a new method for real-time updating ve... Read More about Data Driven Update of Load Forecasts in Smart Power Systems using Fuzzy Fusion of Learning GPs.

ELM-Fuzzy Method for Automated Decision-Making in Price Directed Electricity Markets (2019)
Conference Proceeding
Alamaniotis, M., & Karagiannis, G. (2019). ELM-Fuzzy Method for Automated Decision-Making in Price Directed Electricity Markets. . https://doi.org/10.1109/eem.2019.8916549

Among many domains application of information technologies has also transformed electricity markets. Price directed markets refer to the driving the electricity consumption by controlling the electricity prices in real time. This paper frames itself... Read More about ELM-Fuzzy Method for Automated Decision-Making in Price Directed Electricity Markets.

Minute Ahead Wind Speed Forecasting Using a Gaussian Process and Fuzzy Assimilation (2019)
Conference Proceeding
Alamaniotis, M., & Karagiannis, G. (2019). Minute Ahead Wind Speed Forecasting Using a Gaussian Process and Fuzzy Assimilation. In 2019 IEEE Milan PowerTech. https://doi.org/10.1109/ptc.2019.8810415

This paper presents an intelligent data driven method for forecasting minute ahead wind speed, which is essential in predicting the power output coming from wind generators. The proposed methodology, is based on the principle that “the most recent pa... Read More about Minute Ahead Wind Speed Forecasting Using a Gaussian Process and Fuzzy Assimilation.

Learning Uncertainty of Wind Speed Forecasting Using a Fuzzy Multiplexer of Gaussian Processes (2018)
Conference Proceeding
Alamaniotis, M., & Karagiannis, G. (2018). Learning Uncertainty of Wind Speed Forecasting Using a Fuzzy Multiplexer of Gaussian Processes. . https://doi.org/10.1049/cp.2018.1888

The smart power systems of the future will be able to accommodate wind power at a maximum efficiency by utilizing available information. For instance, information pertained to wind speed is essential in forecasting the overall amount of power generat... Read More about Learning Uncertainty of Wind Speed Forecasting Using a Fuzzy Multiplexer of Gaussian Processes.

A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm (2017)
Conference Proceeding
Nasiakou, A., Alamaniotis, M., Tsoukalas, L. H., & Karagiannis, G. (2017). A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm. In 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA). https://doi.org/10.1109/iisa.2017.8316375

The clustering of any type of consumers (residential, commercial, industrial) is of great importance in the operation of Smart Grids. In this paper, we propose a three-stage hierarchical scheme for residential consumers' partitioning using the Hierar... Read More about A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm.