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Found 6 papers, 1 papers with code
Coordinating Resource Allocation during Product Transitions Using a Multifollower Bilevel Programming Model
The followers consist of multiple Product Divisions that must share manufacturing and engineering resources to develop, produce and sell products in the market.
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach
Solving large-scale capacity expansion problems (CEPs) is central to cost-effective decarbonization of regional-scale energy systems.
Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification
Applying the framework to study the U. S. New England region in 2050 across 20 weather scenarios, we find high electrification of the residential sector can increase sectoral peak and total electricity demands by up to 56-158% and 41-59% respectively relative to business-as-usual projections.
Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems
We evaluate aggregation outcomes over a range of hyperparameters governing the loss function and compare resulting upper bounds on the original problem with those obtained using benchmark methods.
Electric-Gas Infrastructure Planning for Deep Decarbonization of Energy Systems
The transition to a deeply decarbonized energy system requires coordinated planning of infrastructure investments and operations serving multiple end-uses while considering technology and policy-enabled interactions across sectors.
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints
Specifically, we focus on efficiently extracting a set of representative days from power and NG data in respective networks and using this set to reduce the computational burden required to solve the GTEP.
