Results 61 to 70 of about 5,473,828 (218)

Advancing the Thermal Network Representation for the Optimal Design of Distributed Multi-Energy Systems

open access: yesFrontiers 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
doaj   +1 more source

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming

open access: yesCoRR
Leveraging machine learning (ML) to predict an initial solution for mixed-integer linear programming (MILP) has gained considerable popularity in recent years. These methods predict a solution and fix a subset of variables to reduce the problem dimension. Then, they solve the reduced problem to obtain the final solutions.
Haoyang Liu 0002   +7 more
openaire   +3 more sources

Interdiction Models and Heuristics for Graph Propagation

open access: yesNetworks, EarlyView.
ABSTRACT Given a graph G=(V,E)$$ G=\left(V,E\right) $$ and a set S⊂V$$ S\subset V $$ of activated/infected nodes, we consider the problem of determining the set of c$$ c $$ nodes that minimizes the network propagation on the subgraph that results from the removal of those c$$ c $$ nodes. To measure network propagation, we assume that a node i$$ i $$ is
Agostinho Agra, José Maria Samuco
wiley   +1 more source

A Short Turning Strategy for Train Scheduling Optimization in an Urban Rail Transit Line: The Case of Beijing Subway Line 4

open access: yesJournal of Advanced Transportation, 2018
In urban rail transit systems, train scheduling plays an important role in improving the transport capacity to alleviate the urban traffic pressure of huge passenger demand and reducing the operation costs for operators.
Miao Zhang   +4 more
doaj   +1 more source

Exact Methods for the Cumulative Capacitated Vehicle Routing Problem With Time Windows

open access: yesNetworks, EarlyView.
ABSTRACT This article studies the cumulative capacitated vehicle routing problem with time windows (CCVRPTW). The CCVRPTW consists of deciding the routing schedules for a set of homogeneous capacitated vehicles such that the latency, that is, the sum of the service start times at the customers, is minimized and the time windows as well as the vehicle ...
Alan Osorio‐Mora, Timo Gschwind
wiley   +1 more source

Sustainable Production Planning: Insights Into Factors, Models, and Solution Methods

open access: yesSustainable Development, EarlyView.
ABSTRACT Effective resource management remains a major challenge for organizations seeking to balance economic efficiency with environmental and social responsibility. In this context, production planning becomes a strategic mechanism for integrating sustainability into industrial operations.
Daysi Ortiz   +2 more
wiley   +1 more source

Phasing Out Coal Power Through Cross‐Border Renewable Energy Trade in the Asia‐Pacific

open access: yesSustainable Development, EarlyView.
ABSTRACT Coal remains the backbone of electricity generation in the Asia‐Pacific region, accounting for half of total regional output and two‐thirds of global coal‐fired capacity. The substantial environmental and public‐health externalities of coal highlight the urgent need to accelerate the renewable energy transition.
Bin Lu   +6 more
wiley   +1 more source

A Preventive Static Security Control Strategy for Distribution Networks Based on Phase Shifting Transformer Loop‐Closing Devices

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
As the share of renewable energy in the energy mix continues to increase, the penetration of distributed renewable generation in distribution networks is also rising steadily. Loop‐closing operation provides an effective means to enhance renewable energy accommodation across different grid partitions.
Ningyu Zhang   +6 more
wiley   +1 more source

Optimal scheduling of smart home appliances using mixed-integer linear programming [PDF]

open access: yes, 2012
In the last years we have witnessed an increasing interest in smart buildings, in particular for what concerns optimal energy management, renewable energy sources, and smart appliances.
Sartor, Giorgio
core  

Intent-Driven UAM Scheduling: An Explainable Hybrid AI Framework

open access: yesAerospace
This paper presents a hybrid AI framework for rescheduling tasks within UAM vertiports. This scheduling challenge is approached as a resource-constrained project scheduling problem (RCPSP), typically solved via mixed-integer linear programming (MILP ...
Jeongseok Kim, Kangjin Kim
doaj   +1 more source

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