Results 111 to 120 of about 57,800 (281)

Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle

steel research international, EarlyView.
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen, Juhani Nissilä, Ville‐Valtteri Visuri, Aki Sorsa, Matias Hauru, Jouni Laurila, Toni Liedes   +6 more
wiley   +1 more source

Strength-constrained unit commitment in IBR dominant power systems

iEnergy
In this paper, a strength-constrained unit commitment (UC) model incorporating system strength constraints based on the weighted short-circuit ratio (WSCR) is proposed.
Yong-Kyu Kim, Sang-Ho Lee, Gyu-Sub Lee
doaj   +1 more source

Developing the Spatial Dimension of Farm Business Models [PDF]

A non-linear mathematical farm business optimisation model, that is set within a spatial economic framework, has been developed. The model incorporates factors such as location, spatial market orientation and technology use, and identifies the business ...
Anderson, Duncan J., Jack, Claire G.
core   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Optimizing Supply Chain Design under Demand Uncertainty with Quantity Discount Policy

Mathematics
In typical business situations, sellers usually offer discount schemes to buyers to increase overall profitability. This study aims to design a supply chain network under uncertainty of demand by integrating an all-unit quantity discount policy.
Jung-Fa Tsai, Peng-Nan Tan, Nguyen-Thao Truong, Dinh-Hieu Tran, Ming-Hua Lin   +4 more
doaj   +1 more source

Cost‐Optimal Building Energy System Scheduling Integrating Solar Irradiance Forecasting via LSTM‐Attention‐TCN Model

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Building energy systems integrating multiple energy sources can effectively reduce energy consumption and facilitate renewable energy integration. Integrating electrical energy storage (EES) into these systems helps accommodate the increasing share of renewables; however, the stochastic and intermittent nature of solar power still poses ...
Zhengtian Wu, Jianyu Li, Yang Gao, Chuangyin Dang, Chao Tang, Yuansheng Li, Xinmiao Wang, Jinpeng Chen, Hongbo Gao, Xinyin Xu   +9 more
wiley   +1 more source

Optimal Scheduling of Data Centre Integrated Energy Systems Considering Electric‐Thermal Demand Response Under Icing Uncertainty

Energy Internet, EarlyView.
ABSTRACT Extreme icing disasters increasingly undermine the reliability of integrated power and heat networks by causing line outages, supply shortages and sharp thermal load fluctuations. To address these challenges, this paper proposes a comprehensive optimisation framework that exploits the spatiotemporal flexibility of data centres for coordinated ...
Yan Wang, Hui Hou, Zhengguo Wang, Wenzhe Zheng, Zhengtian Li, Xiangning Lin, Wu Chen   +6 more
wiley   +1 more source

Sub‐optimal Internet of Thing devices deployment using branch and bound method

IET Networks, EarlyView.
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley   +1 more source

A class of nonlinear multi-objective mixed integer programming model for oil and gas portfolio and algorithm solution

Energy Exploration & Exploitation
This paper is concerned with the oil & gas assets portfolio. A multi-objective portfolio model of oil & gas assets is studied from two perspectives—scale and revenue.
Wei Yan
doaj   +1 more source

On the complexity of nonlinear mixed-integer optimization [PDF]

, 2010
This is a survey on the computational complexity of nonlinear mixed-integer optimization. It highlights a selection of important topics, ranging from incomputability results that arise from number theory and logic, to recently obtained fully polynomial ...
Köppe, Matthias
core