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These limitations underscore the need for more intelligent systems that can dynamically manage the complexities of microgrid operations.Recent advancements in artificial intelligence (AI) and machine
The Intelligent Smart Energy Management System (ISEMS) described in this work is designed to control energy usage in a smart grid environment where a significant quantity of
An inclusive and Intelligent Energy Management System (IEMS) aims to provide overall energy efficiency regarding increased power generation, increase flexibility, increase renewable
The intelligent energy service platform is constructed by cloud computing technologies, such as distributed microservices, software defined network (SDN) and big data. The application
In this paper, we survey the existing intelligent load forecasting (ILF) systems, highlight their advantages and downsides, and briefly discuss the workflow of the
Gartner''s strategic advice, trusted insights and practical tools helps IT leaders identify opportunities for innovation and tackle their mission-critical priorities.
Intelligent, interconnected energy networks are the backbone of a successful energy transition, enabling the integration and management of renewable energy sources.
Microgrids, decentralized energy systems capable of operating independently or in conjunction with the main grid, play a crucial role in modern energy management. This paper
Green energy management is an economical solution for better energy usage, but the employed literature lacks focusing on the potentials of edge intelligence in controllable Internet of
This paper presents a comprehensive investigation into the implementation of an Intelligent Energy Management System (IEMS) for microgrids using Reinforcement Learning (RL)
This research explores the latest advancements across various areas of energy systems, revealing the current capabilities of intelligent monitoring and fault detection, control and optimization
Intelligent energy management systems play a pivotal role in optimizing energy distribution, particularly in scenarios with high grid dependency. Cloud computing infrastructures address the
District energy management offers possibilities for optimal energy usage on a local scale. However, it presents challenges due to multiple stakeholders, heterogeneous assets, and varying
Abstract The increasing demand for sustainable energy consumption and the proliferation of smart devices have driven the development of Intelligent Home Energy Management Systems
A flexible smart energy framework is proposed to integrate traditional energy systems with advanced information and communication technologies, enabling more adaptive and efficient
An excess or scarcity of electricity in the production or consumption of energy can disrupt the system and cause serious difficulties such as voltage drops/rises and,
In light of a virtual SOC model and exploiting current, a multi-objective power management methodology for an MMC-based EV armada was incorporated into the savvy network. The MMC
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 alternative
The objective of this research is to develop intelligent deep optimized energy management (IntDEM), a novel and unique framework for Internet of Things (IoT)-enabled smart grid
The objective of this study is to achieve ultra-short-term cold load forecasting for urban buildings based on historical load data, thereby constructing an intelligent building energy