[HTML][HTML] Energy-aware decision support models in production environments: A systematic literature review
The substantial amount of energy consumed through industrial production has given rise to
a large number of research papers that incorporate environmental aspects and increased …
a large number of research papers that incorporate environmental aspects and increased …
Demand response application in industrial scenarios: A systematic mapping of practical implementation
SAB dos Santos, JM Soares, GC Barroso… - Expert Systems with …, 2023 - Elsevier
The industrial sector is the one that consumes the most energy in the world, whereas
manufacturing activities play an important role in the energy consumption in the industry …
manufacturing activities play an important role in the energy consumption in the industry …
Collaborative optimization of renewable energy power systems integrating electrolytic aluminum load regulation and thermal power deep peak shaving
Addressing renewable energy (RE) curtailment in power systems necessitates a
comprehensive strategy leveraging peak regulation resources from both the power and load …
comprehensive strategy leveraging peak regulation resources from both the power and load …
An ant colony optimization behavior-based MOEA/D for distributed heterogeneous hybrid flow shop scheduling problem under nonidentical time-of-use electricity …
This article studies a distributed heterogeneous hybrid flow shop scheduling problem under
nonidentical time-of-use electricity tariffs (DHHFSP-NTOU). The makespan and the total …
nonidentical time-of-use electricity tariffs (DHHFSP-NTOU). The makespan and the total …
Multi-local search-based general variable neighborhood search for distributed flow shop scheduling in heterogeneous multi-factories
Heterogeneous multi-factories in different regions bring a challenge to managers in
distributed production scheduling. This paper studies a distributed flow shop scheduling …
distributed production scheduling. This paper studies a distributed flow shop scheduling …
A comprehensive review of demand side management in distributed grids based on real estate perspectives
A major challenge in renewable energy planning and integration with existing systems is the
management of intermittence of the resources and customer demand uncertainties that are …
management of intermittence of the resources and customer demand uncertainties that are …
Deep reinforcement learning for solving steelmaking-continuous casting scheduling problems under time-of-use tariffs
This paper proposes a novel intelligent scheduling method based on deep reinforcement
learning (DRL) to solve the multi-objective steelmaking-continuous casting (SCC) …
learning (DRL) to solve the multi-objective steelmaking-continuous casting (SCC) …
Energy cost reduction in residential nanogrid under constraints of renewable energy, customer demand fitness and binary battery operations
Intermittence of renewable energy is a challenge to demand side management in distributed
grid technologies. Time-of-use tariffs are often applied to implement traditional strategies …
grid technologies. Time-of-use tariffs are often applied to implement traditional strategies …
Job scheduling under Time-of-Use energy tariffs for sustainable manufacturing: a survey
The combined increase of energy demand and environmental pollution on a global scale is
forcing a rethinking, in sustainable terms, of energy supply policies and production models …
forcing a rethinking, in sustainable terms, of energy supply policies and production models …
Industrial demand side management of a steel plant considering alternative power modes and electrode replacement
As a major energy consumer, steel plants can help stabilize the power grid by shifting
production from periods with high demand. Electric arc furnaces can be operated at different …
production from periods with high demand. Electric arc furnaces can be operated at different …