Results 31 to 40 of about 3,912 (195)
Optimization of Distributed Energy System Operation in All-Electric Districts with Electricity Sharing [PDF]
E3S Web of ConferencesIn recent years, as renewable energy has been increasingly deployed in pursuit of a decarbonized society, photovoltaics (PV) have become particularly widespread in the residential sector owing to their ease of installation.
Shin Kotoha +3 more
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Energy Reports, 2023 Security-constrained unit commitment (SCUC) is a complex optimization problem in power system operation, which is computationally intensive. To bring significant time-savings, this paper presents a graph convolutional network (GCN)-based SCUC approach ...
Xian Tang +3 more
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An Optimisation Approach for Long-Term Industrial Investment Planning
Energies, 2019 The industrial sector has a large presence in world energy consumption and CO2 emissions, which has made it one of the focal points for energy and resource efficiency studies. However, large investments are required to retrofit existing industrial plants,
Hür Bütün +2 more
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Frontiers in Energy Research, 2021 This paper investigates modeling methods with thermal network representation under the scope of the optimal design and operation of Distributed Multi-Energy System (D-MES).
Danhong Wang +6 more
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MILP models for the Dial-a-ride problem with transfers
EURO Journal on Transportation and Logistics, 2021 Automated vehicles are becoming a reality. Expectations are that AVs will ultimately transform personal mobility from privately owned assets to on-demand services. This transformation will enhance the possibility of sharing trips, leading to shared AVs (SAVs).
Jacopo Pierotti, J. Theresia van Essen
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An Extended Model for the UAVs-Assisted Multiperiodic Crowd Tracking Problem
Complexity, 2023 The multiperiodic crowd tracking (MPCT) problem is an extension of the periodic crowd tracking (PCT) problem, recently addressed in the literature and solved using an iterative solver called PCTs solver.
Skander Htiouech +4 more
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Algorithms and applications for a class of bilevel MILPs
Discrete Applied Mathematics, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pierre-Louis Poirion +3 more
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Iterative MILP methods for vehicle control problems [PDF]
2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), 2004 Mixed integer linear programming (MILP) is a powerful tool for planning and control problems because of its modeling capability and the availability of good solvers. However, for large models, MILP methods suffer computationally. In this paper, we present iterative MILP algorithms that address this issue. We consider trajectory generation problems with
Matthew G. Earl, Raffaello D'Andrea
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International Journal of Production Management and EngineeringCut Order Planning (COP) optimizes production costs in the apparel industry by efficiently cutting fabric for garments. This complex process involves challenging decision-making due to order specifications and production constraints.
Sharif Al-Mahmud +3 more
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Business Strategy and the Environment, EarlyView.ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley +1 more source