Research on the optimal operation of a prosumer micro energy network centred on data centres by Yuanshi Zhang, Yiwu Ge, Shunjiang Wang, Weiqi Pan, Yiwen Feng, Peng Qiu

“…Abstract As the share of intermittent and fluctuating renewable energy sources in the power system continues to increase, demand‐side resources must be utilized to enhance the real‐time balance of power generation and supply. …”
Get full text

Optimal scheduling of demand response contracts for a strategic aggregator in wholesale electricity market by Milad Baradaran Kenari, Taghi Barforoushi

“…Demand response, as a program for managing electricity demand, serves as an important source of flexibility in the use of electrical energy. …”
Get full text

Three-dimensional finite-time optimal cooperative guidance with integrated information fusion observer by Yiao Zhan, Linwei Wang, Di Zhou

“…To complement the guidance strategy, the IFAPO leverages multi-source information fusion theory and incorporates anti-saturation mechanisms to enhance target maneuver estimation. …”
Get full text

Enhanced Nutcracker Optimization Algorithm with Hyperbolic Sine–Cosine Improvement for UAV Path Planning by Shuhao Jiang, Shengliang Cui, Haoran Song, Yizi Lu, Yong Zhang

“…First, the exploitation process of the sinh cosh optimizer is incorporated into the foraging strategy to enhance the efficiency of nutcracker in locating high-quality food sources within the search area. …”
Get full text

Optimized design of SynRM drive systems for high-efficiency solar water pumps by Gullu Boztas, Omur Aydogmus, Musa Yilmaz

“…The SynRM operates efficiently at low voltage levels, eliminating the need for a boost converter and allowing direct connection to low-voltage power sources. With a power output of 0.55 kW and an ultra-premium efficiency rating of 86.5%, the motor integrates the drive circuit within its casing for a compact design. …”
Get full text

Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…One significant branch of modern control algorithms concerns reinforcement learning, a data-driven strategy capable of dynamically managing renewable energy sources and other energy subsystems under uncertainty and real-time constraints. …”
Get full text

Designing the optimal number of active branches in a multi-branch buck-boost converter by I. Kovacova, D. Kovac

“…Multi-branch buck-boost converters, widely used in energy conversion from alternative sources, offer significant advantages over single-branch configurations. …”
Get full text

OppIN: Optimal Path Intervention for Emergency Response Leveraging IoT and Big Data Technologies by Yassine Gacha, Takoua Abdellatif

“…Compared to existing solutions such as Google Maps, our system uses a broader set of data sources and criteria, such as weather conditions, distance, traffic dynamics, and road status, to provide a more comprehensive and tailored analysis for specialized service navigation. …”
Get full text

Optimal energy management of multi-carrier energy system considering uncertainty in renewable generation by Ankit Garg, K. R. Niazi, Shubham Tiwari, Sachin Sharma, Tanuj Rawat

“…Abstract This paper presents a structured approach for the efficient operation of multi-carrier energy systems under the uncertainty of renewable energy sources. As the penetration of wind and solar energy increases, managing the resulting variability becomes critical to maintaining both economic efficiency and operational flexibility. …”
Get full text

Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization by Zan Yang, Chen Jiang, Jiansheng Liu

“…Abstract This paper proposes a surrogate-assisted dynamic population optimization algorithm (SDPOA) for the purpose of solving computationally expensive constrained optimization problems, in which the population is dynamically updated based on the real-time iteration information to achieve targeted searches for solutions with different qualities. …”
Get full text

Structural Optimization and Electromagnetic Performance Research of Axial Magnetic Field Tidal Current Generators by Wenzhou Liu, Jinghuan Yang, Lixin Pei, Mohammad Rafiei, Yilong Yang, Yuliang Wang, Jiacheng Cui, Yun Guo, Baowen Zhang

“…Tidal energy, as a stable and predictable renewable energy source, is garnering increasing attention. However, tidal energy generation faces challenges such as low energy conversion efficiency and high mechanical losses in low-velocity environments. …”
Get full text

Optimization of Rendering Parameters of Cesium 3DTiles Model Based on Differential Evolution Algorithm by Doujun Zhang, Yong Wu, Youcong Ni, Tinghuang Zhang, Chenxiang Gao

“…Cesium is an open-source 3D virtual earth engine based on WebGL and one of the most widely used 3D GIS engines. …”
Get full text

Optimal Scheduling of Integrated Energy System Considering The Ladder-Type Carbon Trading Mechanism by Jianhua ZHOU, Changyu LIANG, Linjun SHI, Yang LI, Wenfei YI

“…Then, based on the time-of-use price and substitution of each energy source, two types of demand-side response, price-based and substitution-based, are investigated separately. …”
Get full text

An incremental data-driven approach for carbon emission prediction and optimization of heat treatment processes by Qian Yi, Xin Wu, Junkang Zhuo, Congbo Li, Chuanjiang Li, Huajun Cao

“…Using life cycle assessment (LCA) theory, carbon emission sources are accurately analyzed and quantified, and a full life cycle carbon emission model is established. …”
Get full text

Load Frequency Control Based on Gray Wolf Optimizer Algorithm for Modern Power Systems by Dao Huy Tuan, Dao Trong Tran, Van Nguyen Ngoc Thanh, Van Van Huynh

“…The increasing complexity of modern power systems (MPSs), driven by the integration of renewable energy sources and multi-area configurations, demands robust and adaptive load frequency control (LFC) strategies. …”
Get full text

Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential Buildings by Agis M. Papadopoulos, Konstantinos Polychronakis, Elli Kyriaki, Effrosyni Giama

“…Six scenarios with hybrid renewable energy systems are analyzed, including air- and ground-source heat pumps, solar thermal systems and a biomass fired boiler, so as to assess energy consumption, economic feasibility and internal air temperature conditions. …”
Get full text

A hybrid modeling framework for groundwater contamination risk: Optimized AHP-DRASTIC and BME by Muyuan Lu, Yuan Liu, Guijian Liu, Guanyu Wang, Yongli Li, Peiwei Sun

“…The assessment of groundwater contamination risk is crucial, especially in regions like northern Anhui, where complex geological conditions and limited groundwater sources coexist. This study proposes a cost-effective approach integrating groundwater vulnerability and functional value to evaluate contamination risk. …”
Get full text

Electromechanical Resonant Ice Protection Systems Using Extensional Modes: Optimization of Composite Structures by Giulia Gastaldo, Younes Rafik, Marc Budinger, Valérie Pommier-Budinger

“…For curved structures, the curvature-induced effect is another source of parasitic flexion, which cannot be controlled solely by material selection and requires careful thickness optimization. …”
Get full text

Evaluation of Optimized Pavement Maintenance for User Costs and Vehicle Emissions on the Indian Urban Roads by Bhavesh Jain, Devesh Tiwari, Manoranjan Parida, Ramesh Anbanandam

Get full text

Chance-constrained optimal schedule of battery energy storage considering the uncertainties of renewable generation by Zhi Li, Dawei Xie, Haifeng Ye, Yujun Li, Jinzhong Li, Yichi Chen, Yue Yang

“…Since renewable energy generation has strong uncertainties and pure conventional unit dispatch schemes are limited by the unit-operating capacities, such scheduling is inapplicable for power systems with high proportions of renewable energy sources (RESs). We propose an optimal scheduling model for battery energy storage systems (BESSs) by considering the uncertainties of RESs. …”
Get full text