under the smart grid environment, demand response resources (drrs) are introduced as a virtual power plant to enhance power system adequacy. drrs often fail to reduce their load due to some external factors. in this paper, a reliability model of a drr is constructed as multi-state conventional generation units, where the probability, frequency of occurrence, and departure rate of each state can...

Laser powder bed fusion (LPBF) is an additive manufacturing technology which uses a heat source (laser) to sinter or fuse atomized particles together. A new layer of spread over the previous using roller, and then laser power fuses them. This mechanism repeated until part model completed. To reduce time, effort, cost, present study incorporated design experimental approach conjoined with finite...

ABSTRACT. Various kinds of biomass fuels are used for boiler and other thermal applications. The presence moisture, ash calorific value known to be the most significant quality factors which influence effective performance a fuel plant. reasons measuring above mentioned perform economic analysis control combustion. relevant industries interested obtain method predicting these quickly consistent...

Laser Powder Bed Fusion (LPBF) is one of the most commonly used and rapidly developing metal Additive Manufacturing (AM) technologies for producing optimized geometries, complex features, lightweight components, in contrast to traditional manufacturing, which limits those characteristics. However, this technology faces difficulties with regard construction overhang structures warping deformatio...

Olive oil production is one of the important industrial sectors within agro-food framework Mediterranean region, economically to people working in this sector, although there also a threat environment due residues. The main wastes olive extraction process are mill wastewater (OMW) and husks which require proper treatment before dismissal. In research work, goal introduce grey relational analysi...

The performance of electrical discharge machining (EDM) is dependent on the selection of factor/levels combinations of input parameters. The optimization of EDM process is a multi-objective optimization problem on account of the contradictory behaviour of performance measures like metal removal rate and surface roughness (MRR, SR). Many optimization technique are used for the parametric optimiz...

this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...