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ΙΣΤΟΧΩΡΟΣ ΜΑΘΗΜΑΤΩΝ Η.Μ.Μ.Υ.

ΙΣΤΟΧΩΡΟΣ ΜΑΘΗΜΑΤΩΝ ΗΜΜΥ

Πληροφοριακό Σύστημα Διαχείρισης Μαθημάτων και Υποστήριξης Εφαρμογών Εκπαίδευσης

Ενημέρωση

25 Απριλίου 2015

[ΠΛΗ406] Προχωρημένα Θέματα Βάσεων Δεδομένων

25 Απριλίου 2015

[ΗΡΥ418] Αρχιτεκτονική Παράλληλων και Κατανεμημένων Υπολογιστών

25 Απριλίου 2015

[ΗΡΥ204] Ηλεκτρονική Ι

24 Απριλίου 2015

[ΠΛΗ302] Βάσεις Δεδομένων

Επιλογές

Σύνδεσμοι

Καλώς ήρθατε

Ο Ιστοχώρος Μαθημάτων αποτελεί ένα ολοκληρωμένο πληροφοριακό σύστημα διαχείρισης μαθημάτων, υποστήριξης εκπαιδευτικών διαδικασιών και εφαρμογών εκπαίδευσης στο διαδίκτυο. Αναπτύχθηκε με στόχο την ενίσχυση της εκπαιδευσης, την οργάνωση των διαδικασιών και την υποστήριξη εκπαιδευτικών κοινοτήτων για τις ανάγκες του τμήματος Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών του Πολυτεχνείου Κρήτης

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Ανακοινώσεις

17 Απριλίου 2015

δεν θα ισχύσουν για τις συγκεκριμένες μέρες, λόγω προγραμματισμένης άδειας -

σας ευχαριστώ για την κατανόηση -

Άγγελος Μπλέτσας

02 Απριλίου 2015

Παρασκευή 3 Απριλίου 2015
Αίθουσα: 2042, Κτίριο Επιστημών, Πολυτεχνειούπολη
Ώρα: 12.00μ.


Ομιλητής
Professor Peter Veerman
Department of Mathematics and Statistics Portland State University
Crete Center for Quantum Complexity and Nanotechnology - CCQCN

Θέμα: Synchronization of Large Linear Oscillator Arrays

Περίληψη
Synchronization of a large collection of coupled, simple dynamical systems is a problem that has
applications from neuroscience to traffic modeling to modeling of consensus formation. Consider an array of identical linear oscillators, each coupled to its front and rear neighbor.
The coupling may be asymmetric. If we kick the front oscillator (the leader), how does this signal propagate through the system? In some isolated cases, for certain values of the parameters, the answer is well-known, but until recently the only general results applicable to large systems were very qualitative. We developed a theory that gives the correct quantitative description. The theory uses ideas from partial differential equations, but without taking a continuum limit. We will describe the theory and the conjectures it is based upon, as well as the quantitative results.

[περισσότερα]

23 Μαρτίου 2015

Γεια σας,

Στις 2 Απρίλη 2015, ημέρα Πέμπτη, μεταξύ 1μμ - 4μμ ,
πρόκειται να οργανώσουμε
στο εργαστήριο Intelligence του ΗΜΜΥ,
μια ανεπίσημη ας την πούμε "ημι-ημερίδα" (μάλλον : 3-ωρο συνεχόμενων ερευνητικών παρουσιάσεων :-) )
σχετική με

Intelligent Agent Technologies for the Smart Electricity Grid.

Στην ημερίδα αυτή θα παρουσιάσουν την (σχετική με το θέμα) έρευνά τους νυν και πρώην μεταπτυχιακοί φοιτητές (επιπέδου MSc και PhD)
του εργαστηρίου Intelligence και όχι μόνο :

- Θάνος Παναγόπουλος (Dipl. Eng. TUC; PhD candidate U of Southampton)
... 2 ομιλίες:
Towards Optimal Solar Tracking: A Dynamic Programming Approach   [starts: 13:15]
και
AdaHeat: A general adaptive intelligent agent for domestic heating control   [starts: 14:25]

- Χάρης Ακασιάδης (Dipl. Eng. U of Patras; MSc TUC; PhD candidate TUC)
"Cooperative Electricity Consumption Shifting in the Smart Grid"   [starts: 13:45]

- Μανόλης Ντουντουνάκης (Dipl. Eng. NTUA; MSc TUC; PhD candidate TUC)
"Active Power Management in "Green" Ports"  [starts: 14:55]

- Άγγελος Αγγελιδάκης (Dipl. Eng. TUC; MSc student TUC)
"Factored MDPs for Optimal Consumer Decision-Making"   [starts: 15:30]


Θα χαρούμε ιδιαίτερα να σας δούμε εκεί!


Αναλυτικό Πρόγραμμα και Περιλήψεις Ομιλιών
------------------------------------------------------------------

13:15 - 13:40   (20min + 5min discussion)

Ομιλητής: Θάνος Παναγόπουλος

Towards Optimal Solar Tracking: A Dynamic Programming Approach

Abstract:

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) rely on complex closed-loop controllers and sophisticated instruments; and
(iii) typically, they do not take the energy consumption of the trackers into account.
In this paper, we propose a policy iteration method (along with specialized variants), which is able
to calculate near-optimal trajectories for effective and efficient day-ahead solar tracking, based
on weather forecasts coming from online providers. To account for the energy needs of the tracking system,
the technique employs a novel and generic consumption model. Our simulations show that the proposed methods
can increase the power output of a PVS considerably, when compared to standard solar tracking techniques.


Reference

Athanasios Aris Panagopoulos, Georgios Chalkiadakis, and Nicholas R. Jennings: "Towards Optimal Solar Tracking: A Dynamic Programming Approach."
Appeared in Proc. of ΑΑΑΙ-2015.
http://www.intelligence.tuc.gr/~gehalk/Papers/pcjOSTaaai15cr.pdf


------------------
13:45 - 14:20     (30min + 5min discussion)

Ομιλητής: Χάρης Ακασιάδης

Cooperative Electricity Consumption Shifting in the Smart Grid

Abstract:

The transition to a Smart Electricity Grid is a challenging problem, given
also the increased levels of penetration of energy produced via renewable
sources into the Grid. As such, the proactive balancing between the amount
of electricity produced and consumed is a requirement. Here we present a
directly applicable scheme for power consumption shifting, and the
effective balancing of the electricity consumption curve corresponding to
some future date (e.g., the day ahead). It is a proactive scheme, rather
than a last-minute peak trimming one; and it can employ the services of
either individual or cooperating consumer agents alike.

Agents participating in the scheme, however, are motivated to form
cooperatives, in order to reduce their electricity bills via lower group
prices granted for sizable consumption shifting from high to low demand
time intervals. The scheme takes into account individual costs, and uses a
strictly proper scoring rule to reward contributors according to
efficiency. Cooperative members, in particular, can attain variable
reduced electricity price rates, given their different load-shifting
capabilities. This allows even agents with initially forbidding shifting
costs to participate in the scheme, by means of a weakly budget-balanced,
truthful reward sharing mechanism that we put forward.

Now, one major problem arising in this domain is assessing the
participating agents’ uncertainty, and correctly predicting their future
behaviour. Thus, we adopt two stochastic filtering techniques, the
Unscented Kalman Filter and the Histogram Filter, and use them to
effectively monitor the trustworthiness of agent statements regarding
their final actions. Interestingly, our UKF filter is equipped with a
Gaussian Process regression model. We incorporate these techniques within
our demand management scheme. Our simulation results confirm that these
techniques provide tangible benefits regarding enhanced consumption
reduction performance, and increased financial gains for the cooperative.

References

Charilaos Akasiadis and Georgios Chalkiadakis: "Agent Cooperatives for Effective Power Consumption Shifting."
Appeared in Proc. of AAAI-2013.
http://www.aaai.org/ocs/index.php/AAAI/AAAI13/paper/view/6193

Charilaos Akasiadis and Georgios Chalkiadakis: "Stochastic Filtering Methods for Predicting Agent Performance in the Smart Grid."
Appeared in Proc. of ECAI/PAIS-2014.
http://ebooks.iospress.nl/publication/37172


------------------
14:25 - 14:50   (20min + 5min discussion)

Ομιλητής: Θάνος Παναγόπουλος

AdaHeat: A general adaptive intelligent agent for domestic heating control

Improving the energy efficiency of domestic heating systems can lead to a major reduction
in energy consumption and the corresponding CO2 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 general IDHA that balances heating cost and thermal discomfort in an in finite horizon optimization manner,
learns an adaptive thermal model of the system under control on-line and plans a heating schedule that fully
exploits the probabilistic occupancy estimates. Importantly, our agent adapts to the user preferences in balancing heating cost
and thermal discomfort, as it relies on a single parametrization variable that is learned on-line, and
is able to consider a wide range of heating systems typically employed in domestic settings. The backbone of our IDHA
is an adaptive model predictive control approach along with a new general planning algorithm that utilizes dynamic programming.
We present a thorough evaluation of our approach, and show its effectiveness in terms of Pareto efficiency and usability criteria
against state-of-the-art IDHAs. By so doing, we also conduct a comprehensive characterization of existing IDHAs to
provide significant insights about their performance in different operational settings.

References

Athanasios Aris Panagopoulos, Muddasser Alam, Alex Rogers, Nicholas R. Jennings
To appear in Proc. of AAMAS-2015.
http://eprints.soton.ac.uk/374066/1/AdaHeat2015.pdf



------------------
14:55 - 15:25   (25min + 5min discussion)

Ομιλητής: Μανόλης Ντουντουνάκης

Active Power Management in "Green" Ports

Abstract:

Harbour cities are large energy consumers and polluters due to their large industrial and transport activity while at the same time they face the great challenge to conform with the 20-20-20 agenda. Many ports have the capacity of developing considerable renewable energy generation while ship-to-shore connection technology, known as “cold ironing”, is considered amongst the most cost-effective means of reducing pollution from ships at berth.
The technological evolution of continental power systems, the penetration of renewable energy sources and cold ironing have become the most appealing and efficient route towards greener harbours. However, making the above reality smart and powerful power management systems are needed. Traditional approaches use centralized controllers or classical optimization techniques and require a great amount of computation resources. In contrast, new approaches such as multi-agent systems (MAS) aim to achieve system objectives cooperatively, a task that is difficult to achieve with a centralized controller. This work reviews the state of the art of smart power management systems and their potential application to harbour power systems while future perspectives are discussed.


------------------
15:30 - 16:00    (25min + 5min discussion)

Ομιλητής: Άγγελος Αγγελιδάκης

Factored MDPs for Optimal Consumer Decision-Making

Abstract:

Tackling the decision-making problem faced by a prosumer (i.e., a producer that is simultaneously a consumer)
when selling and buying energy in the emerging smart electricity grid, is of utmost importance for the economic profitability of such a business entity.
In this paper, we model, for the first time, this problem as a factored Markov Decision Process. By so doing, we are able to represent the problem compactly,
and provide an exact optimal solution via dynamic programming—notwithstanding its large size. Our model successfully captures the main aspects of
the business decisions of a prosumer corresponding to a community microgrid of any size. Moreover, it includes appropriate sub-models for prosumer
production and consumption prediction. Experimental simulations verify the effectiveness of our approach; and show that our exact value iteration solution
matches that of a state-of-the-art method for stochastic planning in very large environments, while outperforming it in terms of computation time.

Reference

Angelos Angelidakis and Georgios Chalkiadakis: "Factored MDPs for Optimal Consumer Decision-Making".
To appear in Proc. of AAMAS-2015.
http://www.intelligence.tuc.gr/~gehalk/Papers/acFMDPsProsumAAMAS2015.pdf

[περισσότερα]

19 Μαρτίου 2015

Ανακοινώνεται ότι ορίστηκαν οι Σύμβουλοι Σπουδών για το εαρινό εξάμηνο του ακαδημαϊκού έτους 2014-2015 για κάθε εξάμηνο σπουδών, τους οποίους μπορούν να επισκέπτονται οι φοιτητές της Σχολής για την παροχή κατευθύνσεων και συμβουλών για την πρόοδο και την επιτυχή ολοκλήρωση των σπουδών τους. Για περισσότερες πληροφορίες, παρακαλούμε δείτε το επισυναπτόμενο.

Από τη Γραμματεία ΗΜΜΥ

Σύμβουλοι Σπουδών εαρινού εξαμήνου 2014-2015

[περισσότερα]

18 Μαρτίου 2015

Οι φοιτητές που δεν ήταν εμπρόθεσμοι στις δηλώσεις προπτυχιακών μαθημάτων για το εαρινό εξάμηνο οφείλουν να καταθέσουν στη Γραμματεία της Σχολής αιτιολογημένη αίτηση (έντυπη ή ηλεκτρονική) που να απευθύνεται στη Γ.Σ. της Σχολής από σήμερα έως και την Παρασκευή 20 Μαρτίου στις 13.00.

[περισσότερα]