Intelligent Energy Management Systems: Challenges, Development and Prospects
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: 30 January 2026
Special Issue Editor
Interests: computational-artificial intelligence; intelligent control; evolutionary computation; neural networks; systems optimization; distributed artificial intelligence; multi-agent management systems; hybrid intelligent systems and development intelligent systems in biomedicine and energy management in buildings/hospitals
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Special Issue Information
Dear Colleagues,
In infrastructure, healthcare facilities, and data centers, energy serves as the lifeblood that sustains critical operations. Effectively managing this vital resource is imperative when aiming to meet technical, socio-economic, and environmental goals. In recent years, Artificial Intelligence (AI) has significantly transformed the landscape of science and technology, offering powerful tools for addressing complex energy challenges. Regarding the development of Intelligent Energy Management Systems (IEMS), a key opportunity lies in the synergy between AI, automation, fuzzy logic, control theory, the Internet of Things (IoT), and Large Language Models (LLMs). These systems aim to optimize energy consumption, enhance efficiency, improve sustainability, increase reliability, enable demand-side flexibility, and ensure high indoor environmental quality and occupant comfort. The future of IEMS depends upon the realization of smart, resilient, and fault-tolerant Energy Management Systems (EMSs) that can monitor, control, and optimize energy use in real time. These systems will be self-organizing and capable of predicting and preventing potential failures in critical energy infrastructure.
This Special Issue aims to collect pioneering research that addresses the development of intelligent algorithms and explores the emerging synergy between advanced AI technologies and Energy Management Systems (EMS), with applications in buildings, healthcare facilities, and data centers.
The scope of this Special Issue includes, but is not limited to, the following topics:
- Smart cities
- Healthcare facilities
- Smart buildings
- Data centers
- Energy storage on EMS design and operation
- Vehicle-to-Grid (V2G) and Vehicle-to-Everything (V2X) systems
- Sustainable development (renewable energy sources, sustainable production and consumption, etc.)
- Smart grids and Micro-grids
- Intelligent control strategies for EV charging stations and EV-grid integration
- Intelligent management of heating, ventilation, and air conditioning (HVAC) systems
- Battery management and state-of-health (SOH) assessment and lifespan extension strategies
- Demand response (DR) strategies for building energy management
- Adaptive predictive control in energy systems
- Reinforcement learning (RL) for demand response
- Deep learning (DL) for energy system forecasting
- Fuzzy stochastic occupancy estimation and prediction in buildings. The role of occupancy in building energy management
- Machine learning control (leveraging experience and data to learn effective controllers in buildings)
- Fuzzy logic, Causal dynamics and LLM in EMS
- Battery energy storage systems
Prof. Dr. Anastasios Dounis
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- transactive energy management system
- multi-agent and distributed IEMS
- embedded system for energy management demand
- fault detection and diagnosis in energy management systems
- decentralized microgrid control
- IoT and machine learning in IEMS
- intelligent control algorithms in IEMS
- dynamic optimization and optimal control theory in EMS
- adaptive control in EMS
- optimizing charging schedules and IEMS
- IEMS and data analysis
- IEMS and renewable energy sources
- uncertainty optimization in IEMS
- EMS cybersecurity
- HVAC systems
- extensions fuzzy sets and LLM in EMS
- knowledge-based expert systems and fuzzy logic systems in EMS
- reinforcement learning
- machine learning control
- energy forecasting
- electricity price prediction
- field-programmable gate arrays (FPGAs) in EMS
- decision support systems managing uncertainty in IEMS
- fuzzy logic
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