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By intelligent energy management system, we mean a flexible energy management system created by integrating multiple sources of renewable energy allowing us to conserve energy. Among the specific objectives of this article, we can list the following: The development of systems that integrate several types of electricity generators.
The characteristics of the intelligent energy system are: The integration in the energy generation process of multiple sources of renewable energy: solar panels, micro-hydro plants, wind plants, etc., as a secondary priority. Energy conservation by ensuring a high degree of energy security at the level of the system.
A smart energy management system (SEMS) enables the effective utilization of available energy resources and thus results in energy-efficient operation of a smart grid. A SEMS can be applied for the integration of renewable energy resources to a smart grid to balance energy sustainability as well as controllability.
Smart energy systems expect to have better control and use of energy by aligning consumption with generation and integrating multiple energy sectors (Reynolds, Rezgui, & Hippolyte, 2017).
The typical subsystems of a smart energy system include power systems, thermal energy systems and other subsystems. 4.1.1. Power systems Extensive studies of the optimization of power systems address some critical issues, such as the appropriate electricity price, optimal power dispatching, grid stability and grid efficiency evaluation.
Energy system modeling System modeling that provides quantitative energy performance and information for decision-making is the fundamental core for smart energy system optimization (Lund, Arler et al., 2017). In this paper, four commonly employed energy models are introduced: EnergyPLAN, HOMER, Energy Hub, and TRNSYS. 3.2.1. EnergyPLAN
The group "Data Analytics" helps our partners and customers to get the most out of their data in the context of IoT and Industry 4.0. The group takes an application-oriented approach that …
The need for electricity has increased rapidly due to social and economic developments. Avoiding global warming and changing the structure of domestic energy usage …
The system uses a photovoltaic energy system and batteries for storage. The proposed system achieves a better consumer energy gain by ensuring up to 28% of the total energy consumption. Simulation results, using …
This project used context-aware intelligent subsystem to develop 2-layer networks covering the distributed energy system and extend solutions for primary substation. …
Currently, researchers have proposed numerous methods for estimating the capacity of lithium-ion batteries, broadly categorized into model-based and data-driven …
The maximum power point tracking (MPPT) is a strategy that allows imposing the PV array operation point on the maximum power point (MPP) or close to it under any …
The continuous accumulation of operational data has provided an ideal platform to devise and implement customized data analytics for smart HVAC fault detection and …
1 INTRODUCTION. The current state of traffic management has not reached the expected level. Thus, over 75% of the 260,000 intersections in the United States experienced unreasonable timing of signals, which leads to …
Paper ''Carbon Emission Flow Oriented Multitasking Multi-Objective Optimization of Electricity-Hydrogen Integrated Energy System'' proposes a multi-objective optimization method for the operation of electricity …
Energy management circuit design. To reuse the generated waste heat and collect the environmental energy, in this study, we propose a self-powered intelligent energy …
Many researchers have tried to classify road levels using the acceleration signals of the sprung- or unsprung mass. Wang et al. [25] used signal features that are …
Selecting an energy management system for regional integrated energy system (EMS-RIES) is essential to improve energy management. But there lacks an EMS-RIES …
Authors in, planned, designed, and evaluated the implementation of a Smart energy system based on the IoT for Smart cities. They proposed a system that utilizes Smart …
Based on the key principals, a smart energy system is defined by Mathiesen as an energy system that it is fed by 100 % renewable energies, consumes a sustainable level of …
Battery energy storage technology is a way of energy storage and release through electrochemical reactions, and is widely used in personal electronic devices to large …
The system uses a photovoltaic energy system and batteries for storage. The proposed system achieves a better consumer energy gain by ensuring up to 28% of the total …
： With the new advancements in the vibration control strategies and controllable actuator manufacturing, the semi-active actuators (dampers) are finding their way as an essential part …
Microgrids are industrial technologies that can provide energy resources for the Internet of things (IoT) demands in smart grids. Hybrid microgrids supply quality power to the …
An integrated energy system (IES) plays a key role in transforming energy consumption patterns and solving serious environmental and economic problems. However, …
Through our research endeavors, we strive to drive innovation and shape the future of power and energy systems. By embracing digitalization, artificial intelligence, smart planning, optimization, …
Over the last few years, Electric Vehicles (EVs) have been gaining interest as a result of their ability to reduce vehicle emissions. Developing an intelligent system to manage …
Asymmetrical CLLC-type dc transformers (ACLLC-type DCTs) are becoming more and more popular in the renewable energy system, thanks to the bidirectional power transmission (PT), …
INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by …
1.1. Objectives. The objectives of this research endeavor revolve around the development and implementation of a Smart Home Energy Management System (SHEMS) …
Though the benefits of exploiting the increased smartness of cities to achieve efficient energy system integration have been well established, with techniques, applications …
Smart grid implementation is facilitated by multi-source energy systems development, i.e., microgrids, which are considered the key smart grid building blocks. Whether they are …
Mobile robots used for search and rescue suffer from uncertain time duration for sustainable operation. Solar energy has the drawback that it fluctuates depending on the weather. By integrating the battery and …
One of the competencies in creation is for smart cities to be more resilient in their energy system, adapted to changes in consumption patterns and new technologies. With …
The main feature of the MISO converter is designed to get maximum power by reducing the mismatching and partial shading of PV arrays. In other words, the MISO converter is developed to operate a PV energy system at the …
Mohammad Rizwan, Ph.D., is a Professor at the Department of Electrical Engineering, Delhi Technological University, Delhi, India.He focuses his research on renewable energy systems …
Computationally intelligent energy forecasting methods for appropriate energy management at the consumer/producer side have a positive impact on the preservation of …
A transformer-based method of multi-energy load forecasting in integrated energy system. IEEE Trans. Smart Grid 13, 2703–2714 (2022). Google Scholar
There are situations where data relevant to machine learning problems are distributed across multiple locations that cannot share the data due to regulatory, …
Intelligent energy system We are building an energy platform where society''s expectations and cyberreality come together. Professor Peter Palensky, Intelligent Electrical Power Grids The …
Expertise and services in energy efficiency . For many years, Fraunhofer IPA has been working on solutions to improve efficiency in numerous fields of technology (e.g. energy systems, …