Smooth and uninterrupted operation of standalone DC microgrid under high and low penetration of RESs
In this paper, an energy management system (EMS) using intelligent Lyapunov based
adaptive fuzzy controller is designed for standalone microgrid having photovoltaic and wind …
adaptive fuzzy controller is designed for standalone microgrid having photovoltaic and wind …
Operational issues of contemporary distribution systems: A review on recent and emerging concerns
Distribution systems in traditional power systems (PS) constituted of passive elements and
the distribution issues were then limited to voltage and thermal constraints, harmonics …
the distribution issues were then limited to voltage and thermal constraints, harmonics …
A method of short-term risk and economic dispatch of the hydro-thermal-wind-PV hybrid system considering spinning reserve requirements
Y Tian, J Chang, Y Wang, X Wang, M Zhao, X Meng… - Applied Energy, 2022 - Elsevier
The objective of the traditional dispatching model of multi-energy systems is to seek the most
economical scheduling mode, while ignoring the operating risk caused by inaccurate …
economical scheduling mode, while ignoring the operating risk caused by inaccurate …
A study on relationship between prediction uncertainty and robustness to noisy data
The presence of noise results in the decrease of the data quality, and thus affects seriously
the learning performance. In this paper, we investigate theoretically and empirically how …
the learning performance. In this paper, we investigate theoretically and empirically how …
Klasterisasi Data Jamaah Umrah pada Tanurmutmainah Tour Menggunakan Algoritma K-Means
Wisata religi khususnya umroh dan haji semakin diminati oleh masyarakat saat sekarang
ini. Tanurmutmainah Tour merupakan salah satu agen travel yang bergerak dibidang jasa …
ini. Tanurmutmainah Tour merupakan salah satu agen travel yang bergerak dibidang jasa …
An Adaptive Energy Orchestrator for Cyberphysical Systems Using Multiagent Reinforcement Learning†.
Highlights: What are the main findings? A proof of concept of a smart energy management
system in a smart home. Using the reinforcement learning technique, we optimise energy …
system in a smart home. Using the reinforcement learning technique, we optimise energy …
Optimal energy management of microgrid based wind/PV/diesel with integration of incentive-based demand response program
The combination of demand response as demand side management together with energy
management system has become essential to minimize energy cost, to maintain continuous …
management system has become essential to minimize energy cost, to maintain continuous …
[HTML][HTML] Localized management of distributed flexible energy resources
RS Tulabing, BC Mitchell, GA Covic - … Journal of Electrical Power & Energy …, 2024 - Elsevier
The integration of distributed energy resources continues to be a challenge for the traditional
electricity grid. Aside from additional variability in the net power demand, there is often a …
electricity grid. Aside from additional variability in the net power demand, there is often a …
Optimal Charging Scheduling of Electric vehicles for Smart Grid Operations Employing Demand Side Management strategy with Battery Storage System
S Nanibabu, S Baskaran… - 2024 6th International …, 2024 - ieeexplore.ieee.org
This study dives into the critical area of smart grid optimization, with an emphasis on cost
minimization through the integration of demand side management (DSM) and electric …
minimization through the integration of demand side management (DSM) and electric …
Identifying unusual charging patterns of electric vehicles using artificial intelligence
Some of the most challenging parts of finding new approaches to lowering residential
energy use involve studying, detecting, and visualizing households' anomalous power …
energy use involve studying, detecting, and visualizing households' anomalous power …