Synergizing phase change materials, cool paints, and renewables in remote buildings: A techno-economic assessment
Available online 17 July 2026
This study aims to assess the technical, economic, and environmental performance of retrofitting residential buildings in hot–arid climates using phase-change materials (ATP20 and ATP23), cool paints...
Economic dispatch optimization of off-grid wind solar complementary hydrogen synthesis ammonia system based on reverse chaos sparrow search algorithm
Available online 17 July 2026
Off-grid wind-solar hydrogen and ammonia synthesis systems offer a promising route to reduce the grid impact of variable renewable generation and improve its utilization. However, the inherent intermittency...
Probabilistic estimation and uncertainty quantification of grid inertia using variational bayesian inference with ambient noise perturbations
Available online 17 July 2026
This paper proposes a novel variational Bayesian (VB) inference framework for the probabilistic estimation and real-time uncertainty quantification of power system inertia under ambient noise perturbations....
Capacity optimization of data center microgrid coupling computing-power and electricity consumption
Available online 8 July 2026
The optimization of capacity configuration in data center microgrids, primarily powered by renewable energy, represents a crucial solution for achieving low-carbon computing capabilities. However, the...
OPTIMIZATION MODELS FOR WIND FARMS PLACEMENT IN POWER SYSTEM
Available online 6 July 2026
The article presents the problem of optimizing the locations of wind farms (WFs) in response to the growing development of wind energy in the world. To solve this problem, indicators characterizing...
Can China’s outward foreign direct investment effectively influence the energy transition of host countries?——An analysis of the moderating effect based on government governance and heterogeneity examination
Available online 6 July 2026
As China’s Outward Foreign Direct Investment (OFDI) accelerates its shift toward greener practices, its growing commitment to clean energy has become a key driver in the global energy sector’s transition...
Enhanced sliding mode control with a cascaded sliding surface for load frequency control in two-area islanded microgrid
Available online 4 July 2026
Islanded microgrids often struggle to maintain frequency stability due to fluctuating loads and the intermittency of renewable energy sources. In highly dynamic microgrid environments, conventional...
Event-driven frequency regulation strategy in islanded microgrids over distributed directed communication network with random FDI attack-resilient method
Available online 2 July 2026
•Microgrids with renewable distributed generators.•Distributed event-triggered mechanism for secondary frequency restoration in MG over general directed communication networks.•Deception random FDI...
Fractal-guided Bayesian neural network for interpretable probabilistic load forecasting
Available online 2 July 2026
Accurate load forecasting is essential for the reliable and economic operation of modern power systems. However, the growing integration of renewable energy sources and electric vehicles has introduced...
State of charge estimation in lithium-ion batteries: A critical review of traditional and AI-driven methods with pathways to real-world implementation
Available online 2 July 2026
Accurate state-of-charge (SoC) estimation is critical for the safe and efficient operation of lithium-ion batteries in electric vehicles and energy storage systems. However, its practical implementation...
Comprehensive short-term analysis of building energy consumption patterns based on a robust and data-driven computational framework
Available online 1 July 2026
This study introduces a hybrid optimization approach for short-term load forecasting utilizing an artificial neural network that integrates particle swarm optimization and grey wolf optimizer approaches...
Forecasting the average daily and during the hours of maximum electric load based on the data of the average monthly electricity consumption with single and other energy sources
June 2026
The article is devoted to the determination of the average daily and during the hours of maximum electric load according to the data of electricity consumption, taking into account the generalized coefficient...
Momentum vectorized adaptive DDPG-based PSC mitigator design for hybrid PV-TEG systems with auxiliary battery participation
June 2026
Partial shading conditions (PSC) significantly reduce the efficiency of photovoltaic (PV) systems by causing uneven irradiation and mismatched power losses. To address this, this study proposes a novel...
Control strategy for secondary frequency regulation in hybrid energy storage considering real-time dispatchable power and maximum output constraints
June 2026
•Dynamic adjustment coefficient for maximum output was developed based on an improved S-function.•The real-time dispatchable power from the energy storage system has been incorporated.•Reduce energy...
Research on benefit coordination mechanism in renewable energy multi-energy complementary systems
June 2026
Cooperation among multiple stakeholders in the complementary integration of renewable energy sources (hydro, wind, and solar power) can enhance the incremental benefits of each participant as well as...
Two-stage wind-solar-storage capacity allocation method research for active distribution network based on whale migrating algorithm
June 2026
With the integration of clean energy, the increasing penetration of distributed power sources, controllable loads, and energy-storage resources in smart grids is causing substantial difficulties in...
Modeling and clustering of residential electricity consumption for short-term forecasting using seasonal autoregressive integrated moving average (SARIMA)
June 2026
Power demand is increasing in all sectors of the developing nations; however, the inadequate and disproportionate generation and distribution resources create a burden for the authorities to efficiently...
Adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converters for grid transient stability enhancement
June 2026
With the increasing penetration level of renewable energy sources (RES) interfaced with the grids by power electronic converters, the grid forming (GFM) control of converters is recognized as one of...
Negative electricity prices in electricity markets: causes, impacts, and response strategies
June 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...
Aanalysis of the impact of grid-forming doubly-fed induction generator parameter on transient stability and small-signal stability
June 2026
The Grid-Forming Doubly-Fed Induction Generator (GFM-DFIG) has attracted considerable attention due to its capabilities in voltage self-regulation and inertia support, although stability concerns persist....
Resilient adversarial–evolutionary multi-agent intelligence for real-time EV charging and energy trading in renewable-integrated smart grids
June 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...
Multi-scenario coordinated operation strategy of battery-hydrogen hybrid energy storage system for pure photovoltaic VSC-HVDC converter station
June 2026
Voltage source converter based high voltage direct current (VSC-HVDC) transmission serves as a crucial means for power delivery from renewable energy stations, and its operating characteristics require...
Distribution network data asset protection considering multiple topology and multi-dimensional knowledge graph
June 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,...
Real-time electricity carbon flow computation based on physics-informed neural network
Available online 29 June 2026
Accurate and efficient electricity carbon flow computation is crucial for electricity carbon emission tracing, low-carbon dispatch and responsibility allocation. However, analytical electricity carbon...
Transferable electricity price forecasting: A dual-branch deep learning model adapting to evolving market data
Available online 29 June 2026
Electricity price forecasting is essential for power market operations; however, existing models primarily rely on ideal data conditions, which limits their applicability in real-world scenarios with...