This paper presents a novel approach to solve the hydro plant dispatch problem based on the artificial neural network (ANN) and genetic algorithm (GA). In this work, the difficult water balance constraints are embedded and satisfied throughout the proposed encoding and decoding algorithms. The ANN is used as a pre-dispatch tool to generate raw hydro output for each hour temporarily ignoring tim...

Mathematical models for the electricity portfolio management of a utility that owns a hydro-thermal generation system and trades on the power market often lead to complex stochastic optimization problems. We present a new approach to solving stochastic hydro-storage subproblems that occur when stochastic Lagrangian relaxation is applied to solving such models. The special structure of such hydr...

In order to meet the challenges brought by high penetration of intermittent and fluctuating wind solar power, a short-term optimal scheduling model for wind-solar-hydro hybrid generation system with cascade hydropower is established objective minimizing amount abandoned wind, hydro power maximizing stored energy stations. Cascade considered provide spinning reserve regulation ensure security sy...

in saturated soils, heating induces thermal expansion of both grains and the pore fluid. lower thermal expansion coefficient of aggregates results in the increase of pore pressure and reduction of the effective stress besides subsequent volume changes due to the dissipation of pore pressure and heat transfer. dissipation of thermally induced pore pressure with time is a coupled thermo-hydro-mec...

The nature of the distance metric used to compare span between two fireflies in conventional firefly algorithm can significantly enhance exploitation properties and improve its convergence towards optimum solution. Therefore, this research proposes several variants based on different relations like Minkowski distance, Canberra Angular Cosine distance. To performance these variants, benchmark no...

Datacenters have become an important part of today’s computing infrastructure. Recent studies have shown the increasing importance of thermal considerations to achieve effective resource management. In this paper, we study thermal-aware scheduling for homogeneous high-performance computing (HPC) datacenters under a thermal model that captures both spatial and temporal correlations of the temper...

Job scheduling in data centers can be considered from a cyber-physical point of view, as it affects the data center’s computing performance (i.e. the cyber aspect) and energy efficiency (the physical aspect). Driven by the growing needs to green contemporary data centers, this paper uses recent technological advances in data center virtualization and proposes cyber-physical, spatio-temporal (i....

Shape oen has a decisive inuence over the properties and applications of monodisperse nanoparticles. In addition, size is another important factor controlling the properties of the nanomaterials owing to various connement effects. Therefore, the synthesis of diverse, high-quality nanoparticles with tunable shapes and sizes has become a challenging issue and drawn considerable attention. Morp...