Results 1 to 10 of about 389,648 (183)

The potential of unstructured “physical activity” data for understanding relationships between movement-induced joint loading and osteoarthritis progression [PDF]

Osteoarthritis and Cartilage Open
Gait and exercise have been extensively studied in knee osteoarthritis (OA) as potential interventions to modify mechanical loading at the joint and, subsequently, influence biological processes and disease progression.
Peter Schaefer, Zoe Struk, Kerry E. Costello   +2 more
doaj   +2 more sources

Electricity Tariff Aware Model Predictive Controller for Customer Battery Storage with Uncertain Daily Cycling Load

Journal of Modern Power Systems and Clean Energy, 2022
To optimally control the energy storage system of the battery exposed to the volatile daily cycling load and electricity tariffs, a novel modification of a conventional model predictive control is proposed.
Dejan P. Jovanovic, Gerard F. Ledwich, Geoffrey R. Walker   +2 more
doaj   +1 more source

Annual Operating Costs Minimization in Electrical Distribution Networks via the Optimal Selection and Location of Fixed-Step Capacitor Banks Using a Hybrid Mathematical Formulation

Mathematics, 2022
The minimization of annual operating costs in radial distribution networks with the optimal selection and siting of fixed-step capacitor banks is addressed in this research by means of a two-stage optimization approach.
Oscar Danilo Montoya, Francisco David Moya, Arul Rajagopalan   +2 more
doaj   +1 more source

Selection and Location of Fixed-Step Capacitor Banks in Distribution Grids for Minimization of Annual Operating Costs: A Two-Stage Approach

Computers, 2022
The problem regarding the optimal location and sizing of fixed-step capacitor banks in distribution networks with radial configuration is studied in this research by applying a two-stage optimization approach.
Oscar Danilo Montoya, Edwin Rivas-Trujillo, Diego Armando Giral-Ramírez   +2 more
doaj   +1 more source

Load Forecasting for the Laser Metal Processing Industry Using VMD and Hybrid Deep Learning Models

Energies, 2023
Electric load forecasting is crucial for the metallurgy industry because it enables effective resource allocation, production scheduling, and optimized energy management.
Fachrizal Aksan, Vishnu Suresh, Przemysław Janik, Tomasz Sikorski   +3 more
doaj   +1 more source

Investigation on permanent deformation in steel-concrete composite beam bridge deck pavement under temperature-load coupling effect

Frontiers in Materials, 2023
Rutting is one of the common distresses observed in asphalt pavement, influenced by temperature and load conditions. To clarify the permanent deformation behavior of steel-concrete composite beam (SCCB) bridge deck pavement under temperature-load ...
Jing Yang, Liming Tan, Xiangyu Qi, Chenchen Zhang   +3 more
doaj   +1 more source

Daily and seasonal heat usage patterns analysis in heat networks

Scientific Reports, 2022
Heat usage patterns, which are greatly affected by the users' behaviors, network performances, and control logic, are a crucial indicator of the effective and efficient management of district heating networks. The variations in the heat load can be daily
L. Minh Dang, Sujin Lee, Yanfen Li, Chanmi Oh, Tan N. Nguyen, Hyoung-Kyu Song, Hyeonjoon Moon   +6 more
doaj   +1 more source

Machine Learning-Based Load Forecasting for Nanogrid Peak Load Cost Reduction

Energies, 2022
Increased focus on sustainability and energy decentralization has positively impacted the adoption of nanogrids. With the tremendous growth, load forecasting has become crucial for their daily operation. Since the loads of nanogrids have large variations
Akash Kumar, Bing Yan, Ace Bilton
doaj   +1 more source

Model Predictive Control Strategy for Residential Battery Energy Storage System in Volatile Electricity Market with Uncertain Daily Cycling Load

Journal of Modern Power Systems and Clean Energy, 2023
This paper presents a control strategy for residential battery energy storage systems, which is aware of volatile electricity markets and uncertain daily cycling loads.
Dejan P. Jovanovic, Gerard F. Ledwich, Geoffrey R. Walker   +2 more
doaj   +1 more source

Fuel Cell/Gas Turbine Hybrid System Control for Daily Load Profile and Ambient Condition Variation [PDF]

Journal of Engineering for Gas Turbines and Power, 2006
Fuel Cell/Gas Turbine (FC/GT) hybrid technology is promising, but introduces challenges in system operation and control. For base-load applications, changes in ambient conditions perturb the system and it becomes difficult to maintain constant power production by the FC/GT system.
Roberts, Rory A, Brouwer, Jack, Samuelsen, G Scott   +2 more
openaire   +3 more sources