2022
Autores
Chen, X; Xu, F; He, GX; Li, ZH; Wang, F; Li, KP; Catalao, JPS;
Publicação
SUSTAINABLE ENERGY GRIDS & NETWORKS
Abstract
The large-scale introduction of distributed photovoltaic (DPV) increases the need for retailers to consider and quantify the differences in monthly electricity consumption of customers to maximize their interests in trading in the forward electricity market. For customers with DPV, retailers need to predict net electricity consumption (NEC), which is actual electricity consumption (AEC) minus DPV generation. However, the DPV is behind the meter and DPV generation data is invisible to retailers. Therefore, the issue of how to distinguish the transition of customers from no DPV to with DPV and their DPV installation information needs to be addressed. To better capture the additions of DPV timely under high penetration of DPV, a decoupling-based monthly NEC prediction model considering the DPV installation update is proposed. Firstly, the features are extracted from the hourly NEC data of known customers with DPV to distinguish other customers whether installing DPV. Secondly, an online update framework of DPV installation evaluated by two validations is proposed. Thirdly, based on the difference in the electricity consumption series before and after the installation of DPV, the NEC is decoupled into AEC and DPV generation. Finally, the monthly DPV generation prediction results are subtracted from the monthly AEC prediction results to obtain the final monthly NEC results. Different scenarios of DPV penetration are set in case studies to test the performance between the proposed model and other direct models. The results indicate the superiority of the proposed method under high penetration of DPV.
2022
Autores
Rebentisch E.S.; Soares A.L.; Rhodes D.H.; Zimmermann R.A.; Cardoso J.L.F.P.;
Publicação
CEUR Workshop Proceedings
Abstract
Digital transformation is a broad description of efforts to introduce new technologies within and across organizations with the potential to revolutionize the way they function and perform. Digital transformation may be addressed at multiple levels of analysis, and this paper focuses on the enterprise level. This includes the organization, its people, systems, tools and technologies, and suppliers and partners that combined create valued outcomes that sustain the enterprise and advance its objectives. Collectively, this is a complex sociotechnical system (STS), and digital transformation is an intervention in a STS of potentially profound scope. Classical STS theory emerged from analysis of individuals and work groups and principles have been defined for the design of work systems at that level. We explore how STS design principles may be applied to the enterprise-level challenges associated with digital transformation. We present an enterprise-level framework that describes a process and methods that are consistent with STS design principles and illustrates how existing systems analysis methods and artifacts may be used to design an enterprise level STS. We review some artifacts employed in digital transformation efforts, including enterprise reference architectures, to better understand how they might function as means to foster communication and collaboration across multiple disciplines and domains in the STS design process.
2022
Autores
Almeida E.; Carvalho M.F.; Lage O.M.;
Publicação
Frontiers in Bioscience - Elite
Abstract
Background: The high salt concentration is the major factor limiting microbial growth at salterns, along with solar radiation, temperature, and pH. These environmental factors play key roles in the acquisition of unique genetic adaptations for the survival of microorganisms in salterns, which can result in the production of interesting secondary metabolites. The main goal of the present work was to isolate and compare the culturable microbiota from two geographically distant salterns in Portugal and access their biotechnological potential. Methods: Culturomics approaches using different culture media were applied for microbial isolation. All isolates were identified either by 16S rRNA or ITS genes sequencing, and their biotechonological potential was assessed by PCR. Results: Overall, 154 microbial isolates were recovered that were phylogenetically assigned to 45 taxa from 9 different phyla. From these, 26 isolates may represent putative new taxa. The predominant genera obtained were Penicillium (41 isolates, 26.6%), Streptomyces (13 isolates, 8.4%) and Sinomicrobium (11 isolates, 7.1%). Moreover, the polyketide synthase I gene was present in 64 isolates, the nonribosomal peptide synthethase gene in 16 isolates, and both genes in 23 isolates. Conclusions: This study adds up valuable knowledge on the culturable microbiota of Portuguese salterns and on its potential for production of secondary metabolites. In the long run, this study provides a widely diverse microbial collection for future works. Data public repository: All DNA sequences were deposited in the GenBank database at National Centre for Biotechnology Information (NCBI) web platform under accession numbers OK169439-OK169485, OK216020-OK216124, OK287059 and OK326927.
2022
Autores
la Prieta, FD; Gennari, R; Temperini, M; Mascio, TD; Vittorini, P; Kubincová, Z; Popescu, E; Carneiro, DR; Lancia, L; Addone, A;
Publicação
MIS4TEL
Abstract
2022
Autores
Laussel, D; Long, NV; Resende, J;
Publicação
JOURNAL OF ECONOMICS & MANAGEMENT STRATEGY
Abstract
Using a Markov-perfect equilibrium model, we show that the use of customer data to practice intertemporal price discrimination will improve monopoly profit if and only if information precision is higher than a certain threshold level. This U-shaped relationship lends support to a popular view that knowledge is good only if it is sufficiently refined. When information accuracy can only be achieved through costly investment, we find that investing in profiling is profitable only if this allows to reach a high enough level of information precision. Consumers expected surplus being a hump-shaped function of information accuracy, we show that consumers have an incentive to lobby for privacy protection legislation which raises the cost of monopoly's investment in information accuracy. However, this cost should not dissuade firms to collect some information on customers' tastes, as the absence of consumers' profiling is actually detrimental to consumers.
2022
Autores
Di Felice, M; Schlemmer, E;
Publicação
Revista e-Curriculum
Abstract
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