Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
A connected autonomous vehicle (CAV) network can be defined as a set of connected
vehicles including CAVs that operate on a specific spatial scope that may be a road network …
vehicles including CAVs that operate on a specific spatial scope that may be a road network …
How micro lecture videos trigger the motivation of learners of Coursera: A comparative study based on ARCS mode
H Deng, Y Shao, Y Tang, Z Qin - … International Conference of …, 2014 - ieeexplore.ieee.org
The relatively low retention rates of learners have an implication that learners might
disengage in a MOOC course. Engagement and motivation always go hand in hand. The …
disengage in a MOOC course. Engagement and motivation always go hand in hand. The …
Fuzzy integration of support vector regression models for anticipatory control of complex energy systems
M Alamaniotis, V Agarwal - International Journal of Monitoring and …, 2014 - igi-global.com
Anticipatory control systems are a class of systems whose decisions are based on
predictions for the future state of the system under monitoring. Anticipation denotes …
predictions for the future state of the system under monitoring. Anticipation denotes …
Very-short term forecasting of electricity price signals using a Pareto composition of kernel machines in smart power systems
M Alamaniotis, N Bourbakis… - 2015 IEEE Global …, 2015 - ieeexplore.ieee.org
In smart power distribution systems price forecasting is an indispensable participant tool for
developing purchase strategies. This paper places itself in price directed power systems …
developing purchase strategies. This paper places itself in price directed power systems …
Application of fuzzy multiplexing of learning Gaussian processes for the interval forecasting of wind speed
M Alamaniotis, G Karagiannis - IET Renewable Power …, 2020 - Wiley Online Library
Robust forecasting of wind speed values is a key element to effectively accommodate
renewable generation from wind in smart power systems. However, the stochastic nature of …
renewable generation from wind in smart power systems. However, the stochastic nature of …
Multi-kernel anticipatory approach to intelligent control with application to load management of electrical appliances
M Alamaniotis, LH Tsoukalas - 2016 24th Mediterranean …, 2016 - ieeexplore.ieee.org
Anticipatory systems are systems whose change of state depends on present and future
information about the system itself as well as its environment. Making control decisions …
information about the system itself as well as its environment. Making control decisions …
Dynamic data driven partitioning of smart grid using learning methods
A Nasiakou, M Alamaniotis, LH Tsoukalas… - Handbook of Dynamic …, 2018 - Springer
A plethora of energy management opportunities has emerged for electricity consumers and
producers by way of the transition from the current grid infrastructure to a smart grid. The aim …
producers by way of the transition from the current grid infrastructure to a smart grid. The aim …
Predictive based monitoring of nuclear plant component degradation using support vector regression
V Agarwal, M Alamaniotis, LH Tsoukalas - 2015 - osti.gov
Nuclear power plants (NPPs) are large installations comprised of many active and passive
assets. Degradation monitoring of all these assets is expensive (labor cost) and highly …
assets. Degradation monitoring of all these assets is expensive (labor cost) and highly …
Dynamic Data Driven Partitioning of Smart Grid for Improving Power Efficiency by Combinining K-Means and Fuzzy Methods
A Nasiakou, M Alamaniotis, LH Tsoukalas… - Handbook of Dynamic …, 2022 - Springer
A plethora of energy management opportunities has emerged for electricity consumers and
producers by way of the transition from the current grid infrastructure to a smart grid. The aim …
producers by way of the transition from the current grid infrastructure to a smart grid. The aim …
Evaluation of human machine interface (HMI) in nuclear power plants with fuzzy logic method
Dealing with issues related to safety of Nuclear Power Plants (NPPs) is of high importance
and priority for assuring nonstop energy production. To enhance safety, modernization and …
and priority for assuring nonstop energy production. To enhance safety, modernization and …