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 Athanasios Aris Panagopoulos

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Average citations per article1.40
Citation Count7
Publication count5
Publication years2012-2017
Available for download3
Average downloads per article72.67
Downloads (cumulative)218
Downloads (12 Months)109
Downloads (6 Weeks)4
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1 published by ACM
May 2017 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue: Cyber Security and Regular Papers: Volume 8 Issue 4, July 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 57,   Downloads (Overall): 57

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Over the past few years, Domestic Heating Automation Systems (DHASs) that optimize the domestic space heating control process with minimum user input, utilizing appropriate occupancy prediction technology, have emerged as commercial products (e.g., the smart thermostats from Nest and Honeywell). At the same time, many houses are being equipped with, ...
Keywords: Advanced economic control, control, energy systems, smart grid, space heating

2
May 2015 AAMAS '15: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
Publisher: International Foundation for Autonomous Agents and Multiagent Systems
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 7,   Downloads (12 Months): 34,   Downloads (Overall): 71

Full text available: PDFPDF
Improving the energy efficiency of domestic heating systems can lead to a major reduction in energy consumption and the corresponding CO 2 emissions. To this end, intelligent domestic heating agents (IDHAs) aim to operate domestic heating systems more efficiently with minimum user input. In this work, we propose a new ...
Keywords: energy savings, machine learning, control

3
January 2015 AAAI'15: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 1

The power output of photovoltaic systems (PVS) increases with the use of effective and efficient solar tracking techniques. However, current techniques suffer from several drawbacks in their tracking policy: ( i ) they usually do not consider the forecasted or prevailing weather conditions; even when they do, they ( ii ...

4 published by ACM
November 2014 BuildSys '14: Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 3,   Downloads (12 Months): 19,   Downloads (Overall): 64

Full text available: PDFPDF
A key challenge for intelligent domestic heating systems is to obtain sufficient knowledge of the thermal dynamics of the home to build an adaptive thermal model. We present a study where stochastic grey-box modelling is used to develop thermal models and an extended Kalman filter is used for parameter estimation ...

5
August 2012 ECAI'12: Proceedings of the 20th European Conference on Artificial Intelligence
Publisher: IOS Press
Bibliometrics:
Citation Count: 1

In recent years, estimating the power output of inherently intermittent and potentially distributed renewable energy sources has become a major scientific and societal concern. In this paper, we provide an algorithmic framework, along with an interactive web-based tool, to enable short-to-middle term forecasts of photovoltaic (PV) systems and wind generators ...



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