Under the current EU legislation, Distribution Network Operators (DNOs) are expected to provide firm connections to new DG, whose penetration is set to increase worldwide creating the need for significant investments to enhance network capacity. However, the uncertainty around the magnitude, location and timing of future DG capacity renders planners unable to accurately determine in advance where network violations may occur. Hence, conventional network reinforcements run the risk of asset stranding, leading to increased integration costs. A novel stochastic planning model is proposed that includes generalized formulations for investment in conventional and smart grid assets such as Demand-Side Response (DSR), Coordinated Voltage Control (C...
This paper introduces a novel Internet of Thing (IoT) enabled approach for optimizing the operation ...
Rigorous scheduling that uses hard heuristics and allows forceful shutdown of process units, whether...
This paper presents a novel adaptive fault-tolerant neural-based control design for wind turbines wi...
This paper proposes a flow-based approach for the transmission tariff allocation problem based on th...
One of the recently suggested solutions for enhancing the fuel economy and lifetime in a fuel cell (...
Volt/VAR optimization (VVO) is one important operation in distribution systems to maintain acceptabl...
This paper presents a multiyear distribution network planning optimization model for managing the op...
Abstract: Operational planning of prosumer microgrids with solar and wind energy sources is quite a ...
In order to make Computational homogenization affordable, pre-off-line finite element simulations ar...
This paper puts forward an approach for boosting the efficiency of energy management strategies (EMS...
Concentration Polarization (CP) and limiting-current phenomena are well-known to limit the productiv...
Hybrid renewable energy systems (HRES) have been widely identified as an efficient mechanism to gene...
This paper presents a mathematical model of a bottoming Organic Rankine Cycle coupled to a 2 l turbo...
This paper presents an energy management method for the interconnected operation of power, heat, Com...
Homogenization-based multi-scale analyses are widely used to account for the effect of material hete...
This paper introduces a novel Internet of Thing (IoT) enabled approach for optimizing the operation ...
Rigorous scheduling that uses hard heuristics and allows forceful shutdown of process units, whether...
This paper presents a novel adaptive fault-tolerant neural-based control design for wind turbines wi...
This paper proposes a flow-based approach for the transmission tariff allocation problem based on th...
One of the recently suggested solutions for enhancing the fuel economy and lifetime in a fuel cell (...
Volt/VAR optimization (VVO) is one important operation in distribution systems to maintain acceptabl...
This paper presents a multiyear distribution network planning optimization model for managing the op...
Abstract: Operational planning of prosumer microgrids with solar and wind energy sources is quite a ...
In order to make Computational homogenization affordable, pre-off-line finite element simulations ar...
This paper puts forward an approach for boosting the efficiency of energy management strategies (EMS...
Concentration Polarization (CP) and limiting-current phenomena are well-known to limit the productiv...
Hybrid renewable energy systems (HRES) have been widely identified as an efficient mechanism to gene...
This paper presents a mathematical model of a bottoming Organic Rankine Cycle coupled to a 2 l turbo...
This paper presents an energy management method for the interconnected operation of power, heat, Com...
Homogenization-based multi-scale analyses are widely used to account for the effect of material hete...
This paper introduces a novel Internet of Thing (IoT) enabled approach for optimizing the operation ...
Rigorous scheduling that uses hard heuristics and allows forceful shutdown of process units, whether...
This paper presents a novel adaptive fault-tolerant neural-based control design for wind turbines wi...