Coordinated stochastic optimal energy management of grid-connected microgrids considering demand response, plug-in hybrid electric vehicles, and smart …
A microgrid comprises renewable and non-renewable power generating sources,
controllable loads, energy storage devices and works as a single controllable entity. A …
controllable loads, energy storage devices and works as a single controllable entity. A …
A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting
This paper proposes an effective computing framework for Short-Term Load Forecasting
(STLF). The proposed technique copes with the stochastic variations of the load demand …
(STLF). The proposed technique copes with the stochastic variations of the load demand …
Deep learning based surface irradiance mapping model for solar PV power forecasting using sky image
Z Zhen, J Liu, Z Zhang, F Wang, H Chai… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the increase of solar photovoltaic (PV) penetration in power system, the impact of
random fluctuation of PV power on the secure operation of power grid becomes more and …
random fluctuation of PV power on the secure operation of power grid becomes more and …
Smart households' aggregated capacity forecasting for load aggregators under incentive-based demand response programs
The technological advancement in the communication and control infrastructure helps those
smart households (SHs) that more actively participate in the incentive-based demand …
smart households (SHs) that more actively participate in the incentive-based demand …
Integrated approach for optimal techno-economic planning for high renewable energy-based isolated microgrid considering cost of energy storage and demand …
To realize an efficient energy supply system for an isolated microgrid, a joint design
framework that considered the capacity sizing alongside operational planning is essential. In …
framework that considered the capacity sizing alongside operational planning is essential. In …
Optimal capacity of solar PV and battery storage for Australian grid-connected households
R Khezri, A Mahmoudi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article determines the optimal capacity of solar photovoltaic (PV) and battery energy
storage (BES) for grid-connected households to minimize the net present cost of electricity …
storage (BES) for grid-connected households to minimize the net present cost of electricity …
A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
This paper deals with the optimal sizing of a hybrid photovoltaic-battery storage system for
home energy management considering reliability against grid outages and demand …
home energy management considering reliability against grid outages and demand …
Optimal integration of renewable energy sources, diesel generators, and demand response program from pollution, financial, and reliability viewpoints: A multi …
In electric power systems, operators should account for the optimal operation of generation
units to accommodate an efficient system with cleaner productions. In this paper, annual …
units to accommodate an efficient system with cleaner productions. In this paper, annual …
Optimization models under uncertainty in distributed generation systems: a review
À Alonso-Travesset, H Martín, S Coronas, J de la Hoz - Energies, 2022 - mdpi.com
Distributed generation systems (DGSs) are one of the key developments enabling the
energy transition. DGSs provide users with increased control over their energy use and …
energy transition. DGSs provide users with increased control over their energy use and …
Wind turbine power output very short-term forecast: A comparative study of data clustering techniques in a PSO-ANFIS model
PA Adedeji, S Akinlabi, N Madushele… - Journal of Cleaner …, 2020 - Elsevier
The emergence of new sites for wind energy exploration in South Africa requires an
accurate prediction of the potential power output of a typical utility-scale wind turbine in such …
accurate prediction of the potential power output of a typical utility-scale wind turbine in such …