A community integrated energy system (CIES) is an important carrier of the internet and smart city in geographical functional terms. Its emergence provides a new solution to problems utilization environmental pollution. To coordinate demand response uncertainty renewable generation (RGs), data-driven two-stage distributionally robust optimization (DRO) model constructed. comprehensive norm cons...

As the demand for wireless services continues to grow, need efficient and effective management of radio frequency (RF) spectrum becomes increasingly important. A approach based on data analysis interpretation i.e. data-driven, offers a solution as it provides valuable insights into usage patterns, demand, potential harmful interference in shared scenarios. This paper focuses opportunities chall...

Heating, ventilation, and air conditioning (HVAC) is a major energy consumer in buildings, and. implementing demand driven HVAC operations is a way to reduce HVAC related energy consumption. This relies on the availability of occupancy information, which determines peak/off-hour modes that impact cooling/heating loads of HVAC systems. This research proposes an occupancy estimation model that is...

Business-driven IT management practices often involve the performance optimization of a system according to business criteria. The increased attention to dynamical aspects of the system behavior, the preference for simulative approaches rather than analytical ones, and the increased level of complexity posed by business-driven performance evaluation significantly complicate the optimization of ...

In this paper we describe a sound and complete concurrent operational semantics for constraint functional logic programming languages which allows to model declarative applications in which the interaction between demand-driven narrowing and constraint solving helps to prune the search space, leading to shorter goal derivations. We encode concurrency into the generic CFLP(D) scheme, a uniform f...

Model-driven software engineering is a well investigated and heavily used technique for software development. Within automation engineering we want to benefit from these ideas and concepts by adopting them to systems engineering. Parallel processes in systems engineering demand high synchronization effort between different disciplines, their engineers, and processes. Unfortunately, these proces...

Model-driven software engineering is a well investigated and heavily used technique for software development. Within automation engineering we want to benefit from these ideas and concepts by adopting them to systems engineering. Parallel processes in systems engineering demand high synchronization effort between different disciplines, their engineers, and processes. Unfortunately, these proces...

Decentralized autonomous systems have the potential to be more performant, resilient and sustainable than classical systems under central control. For example, this includes vehicle routing problems in logistics systems, courier services, and public transport. Here, we outline elements of a framework to model, simulate, and assess the performance of such demand-driven directed transport (D3T) s...

Purpose – to model demand-driven chain networks on basis of multiple Customer Order Decoupling Points (CODPs). Design/methodology/approach – literature study and a case study in dairy industry, based on in-depth expert interviews. Findings – four main underlying factors of CODP diversity are addressed and modelled. Research limitations/implications – the proposed multiple CODP models provide th...