Forecast-driven stochastic optimization scheduling of an energy management system for an isolated hydrogen microgrid

W Dong, H Sun, C Mei, Z Li, J Zhang, H Yang - Energy Conversion and …, 2023 - Elsevier
Balancing supply and demand constitutes the most important and challenging task in an
isolated microgrid. Accordingly, it is essential to develop an optimization scheduling strategy …

Optimizing energy consumption patterns of smart home using a developed elite evolutionary strategy artificial ecosystem optimization algorithm

H Youssef, S Kamel, MH Hassan, L Nasrat - Energy, 2023 - Elsevier
In recent times, the tremendous progress in electronic devices and making them available to
all consumers has led to an increase in demand for energy, the formation of a peak, and an …

An overview of reinforcement learning-based approaches for smart home energy management systems with energy storages

W Pinthurat, T Surinkaew, B Hredzak - Renewable and Sustainable Energy …, 2024 - Elsevier
The paper's state-of-the-art review focuses on an in-depth evaluation of smart home energy
management systems which employ reinforcement learning-based methods to integrate …

Agent based online learning approach for power flow control of electric vehicle fast charging station integrated with smart microgrid

M Amir, Zaheeruddin, A Haque… - IET Renewable …, 2022 - Wiley Online Library
In stochastic power systems, electric vehicle (EV) fast charging stations (FCS) are rapidly
being installed, while adversely impacts the distribution network. Due to this, the improper …

Machine Learning-Integrated IoT-Based Smart Home Energy Management System

M Syamala, CR Komala, PV Pramila… - … of Research on Deep …, 2023 - igi-global.com
The internet of things (IoT) is an important data source for data science technology,
providing easy trends and patterns identification, enhanced automation, constant …

A systematic literature review on data-driven residential and industrial energy management systems

J Sievers, T Blank - Energies, 2023 - mdpi.com
The energy transition and the resulting expansion of renewable energy resources
increasingly pose a challenge to the energy system due to their volatile and intermittent …

Design and development of an IoT smart meter with load control for home energy management systems

O Munoz, A Ruelas, P Rosales, A Acuña, A Suastegui… - sensors, 2022 - mdpi.com
Electricity consumption is rising due to population growth, climate change, urbanization, and
the increasing use of electronic devices. The trend of the Internet of Things has contributed …

Operational optimization for the grid-connected residential photovoltaic-battery system using model-based reinforcement learning

Y Xu, W Gao, Y Li, F Xiao - Journal of Building Engineering, 2023 - Elsevier
The development of distributed photovoltaic and energy storage devices has created
challenges for energy management systems due to uncertainty and mismatch between local …

A multi-objective improved cockroach swarm algorithm approach for apartment energy management systems

BN Alhasnawi, BH Jasim, AM Jasim, V Bureš… - Information, 2023 - mdpi.com
The electrical demand and generation in power systems is currently the biggest source of
uncertainty for an electricity provider. For a dependable and financially advantageous …

Energy internet-based load shifting in smart microgrids: an experimental study

AM Jasim, BH Jasim, S Mohseni, AC Brent - Energies, 2023 - mdpi.com
This study investigated a grid-connected smart microgrid (MG) system integrating solar
photovoltaic (PV) panels and a battery energy storage system (BESS) as distributed energy …