Optimized Bi-LSTM model with attention mechanism for power line communication signal recognition in the distribution network
Available online 9 March 2026
Communication technology that utilizes power lines can substantially elevate the intelligent management capabilities of smart grid infrastructure and bolster the operational efficiency of the grid....
Intelligent Valorization: integrating AI, imaging, and sustainability for Next-Generation biofuel systems
Available online 2 March 2026
The accelerating global push toward sustainable energy has positioned biofuels as a critical alternative to fossil fuels. This review presents a comprehensive synthesis of how AI is revolutionizing...
Research on cooperative operation optimization of Nash-Stackelberg game in multiple virtual power plants under multiple uncertainties
February 2026
This paper suggests a way to improve teamwork and reduce uncertainties in operations by using a game theory approach involving multiple virtual power plants (VPP). A generalized credibility-based fuzzy...
An evaluation method for the aggregate adjustable capability of photovoltaic-storage-charging stations considering local security constraints
February 2026
As renewable energy penetration continues to rise, enhancing power system flexibility has become a critical requirement. Photovoltaic–storage–charging stations (PSCSs) are key components for enhancing...
Control strategies for alkaline water electrolysis hydrogen production: a comprehensive review and future perspectives
February 2026
Driven by the global energy transition and carbon neutrality targets, alkaline water electrolysis has emerged as a key technology for coupling variable renewable generation with clean hydrogen production,...
Planning model for electro–hydrogen coupling systems for multistage emission reduction and carbon–green-certificate markets
February 2026
Hydrogen, as a zero-carbon secondary energy carrier, provides a unified pathway for low-carbon energy transformation. In electro–hydrogen coupling systems (EHCSs), surplus renewable power is stored...
Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation
February 2026
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries....
Advances in proton exchange membranes for wide-temperature-range fuel cells
February 2026
Proton exchange membranes (PEMs) play a central role in determining the efficiency, durability, and operational flexibility of PEM fuel cells (PEMFCs). However, conventional PEMs exhibit strong temperature-dependent...
Empirical analysis of electric vehicle charging load forecasting based on Monte Carlo simulation model
February 2026
With the rapid proliferation of electric vehicles, their charging loads pose new challenges to power grid stability and operational efficiency. To address this, this study employs a Monte Carlo simulation...
A review of hydrogen production and storage technologies for power system integration and applications
February 2026
The fast-changing trajectory of energy systems toward renewables requires flexible, low-emission technologies that can buffer supply intermittently and offer large-scale energy storage systems. Moreso,...
From carbon reduction to negative carbon: a comprehensive review of regional integrated energy system planning theory and methods
February 2026
Driven by the global energy transition and the urgent “dual carbon” goals, regional integrated energy system (RIES) planning is undergoing a paradigm shift from carbon reduction to negative carbon emissions....
Coordinated control strategy for hybrid energy storage primary frequency regulation based on improved VMD algorithm and fuzzy neural network
February 2026
Facing the economic challenges of significant frequency regulation wear and tear on thermal power units and short energy storage lifespan in thermal-energy storage combined systems participating in...
Bi-level optimization of configurations and scheduling for the multi-microgrid system (MMS) considering shared hybrid electric-hydrogen energy storage service
February 2026
Shared energy storage helps lower user investment costs and enhances energy efficiency, which is considered a pivotal driver in accelerating the green transition of energy sectors. In view of the increasing...
Optimal reactive power planning in an industrial microgrid: a case study of Urmia Petrochemical plant
February 2026
•An insightful reactive power compensation in real MGs by spatio-temporal constraints.•Maintaining problem optimality considering the objectives and constraints.•Benchmarking centralized and distributed...
Adaptive frequency regulation control strategy for flywheel energy storage coupled thermal power units based on optimal variational mode decomposition
Available online 17 February 2026
As the proportion of renewable energy sources such as wind and solar power connected to the grid continues to increase, maintaining grid frequency stability faces severe challenges. Traditional thermal...
Economic-flexible microgrid scheduling via source–load matching decomposition and dual-mode EMPC
Available online 2 February 2026
In addressing the issues of neglecting the frequency response characteristics of source-side equipment and the limited economic performance and flexibility of conventional model predictive control (MPC)...
Resilient adversarial–evolutionary multi-agent intelligence for real-time EV charging and energy trading in renewable-integrated smart grids
Available online 29 January 2026
The rapid expansion of electric vehicles (EVs) and renewable energy resources introduces new operational stresses in modern power networks such as peak-load surges, voltage fluctuations, and quality...
Negative electricity prices in electricity markets: causes, impacts, and response strategies
Available online 22 January 2026
•Analyzed drivers of negative power prices and their interconnections across varying national electricity markets.•Evaluated negative price impacts on participant behavior, operating costs, and overall...
Distribution network data asset protection considering multiple topology and multi-dimensional knowledge graph
Available online 12 January 2026
The proliferation of diverse entities within distribution network has led to an increase in the scale and complexity of data asset interactions, exacerbating security risks, such as unauthorized access,...
Enhancing grid stability and V2G integration by optimizing three-phase bidirectional EV chargers using ANFIS and FPGA-based control systems
December 2025
State this study looks at how well a three-phase bidirectional converter works for Vehicle-to-Grid (V2G) services by using both Adaptive Neuro-Fuzzy Inference System (ANFIS) and Proportional-Integral...
Data-driven insights for optimizing EV charging infrastructure: a case study on efficiency and utilization
December 2025
The increasing global adoption of electric vehicles (EVs) has led to a growing demand for a cost-effective and reliable charging infrastructure. This study presents a novel data-driven approach to assessing...
Renewable energy finance, policy, and building energy technologies: trends, case studies, and innovations in North America
December 2025
This paper analyzes North American shifts in renewable energy finance and building energy technologies from 2022 to 2025. Fueled by net-zero targets and policy incentives, clean energy investment now...
Digital twin topology modelling method of new-type distribution network based on CIM specifications and spectral clustering
December 2025
Regard to the real-time dynamic digital twin modelling problem of a new-type distribution network that includes distributed resources such as distributed photovoltaic, energy storage, charging pile,...
Real-time dispatch strategy for microgrid considering source‒load uncertainty: a tailored TD3 reinforcement learning approach
December 2025
The integration of large-scale-distributed new energy resources has led to heightened source‒load uncertainty. As energy prosumers, microgrids urgently require enhanced real-time regulation capabilities...
TLCNN: Tabular data-based lightweight convolutional neural network for electricity energy demand prediction
December 2025
Forecasting energy demand is essential for optimizing energy generation and effectively predicting power system needs. Recently, many researchers have developed various models on tabular datasets to...