Article
Chemistry, Analytical
Ewerton L. de Sousa, Leonardo A. de Aquino Marques, Israel da S. Felix de Lima, Ana Beatriz M. Neves, Eduardo Nogueira Cunha, Marcio Eduardo Kreutz, Augusto Jose V. Neto
Summary: Developing a low-cost wireless energy meter with power quality measurements is a significant advancement for efficient electric energy monitoring in smart grid applications. This device enables real-time energy monitoring in complex electric systems and provides opportunities for sustainable and efficient energy use, particularly for nonrenewable energy sources.
Article
Computer Science, Artificial Intelligence
Irene Brito
Summary: In the context of investment decision-making, the EU-EV model is applied for stock selection, which can be used as a preselection model for mean-variance portfolio optimization problems. The results reveal that the EU-EV model is an adequate stock selection model for building efficient portfolios with a lower number of stocks.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
History & Philosophy Of Science
WooJin Chung, Salvador Mascarenhas
Summary: The article introduces an expected-value theory of linguistic modality that incorporates expected utility and a likelihood-based confirmation measure for deontics and epistemics. It argues that this theory has both theoretical and empirical advantages, as it predicts modal reasoning fallacies and derives modal semantics transparently based on the compositional semantics of Korean modal expressions.
Article
Agriculture, Multidisciplinary
Marius Ruett, Tobias Dalhaus, Cory Whitney, Eike Luedeling
Summary: This study focused on the production system of ornamental heather and used probabilistic cost-benefit analysis to simulate alternative disease monitoring strategies. Results showed that increasing the density of visual monitoring is the most beneficial strategy for farmers, leading to higher net benefits.
PRECISION AGRICULTURE
(2022)
Review
Thermodynamics
Neil McIlwaine, Aoife M. Foley, D. John Morrow, Dlzar Al Kez, Chongyu Zhang, Xi Lu, Robert J. Best
Summary: Renewable energy plays a crucial role in reducing greenhouse gas emissions, but large-scale development requires additional power system quality services. Energy storage is essential for providing these services, yet there are uncertainties in technology, market readiness, and regulatory requirements that need further research.
Article
Engineering, Electrical & Electronic
Dario Petri, Paolo Carbone, Luca Mari
Summary: This article introduces a general-purpose framework aimed at capturing the concept of quality of measurement information (MI) and provides systematic analysis for evaluating, communicating, and improving MI quality, with an application example presented to test the framework. The framework, based on general criteria from ISO standards, classifies criteria according to syntactic, semantic, and pragmatic layers, forming a structured approach that includes both top-down analysis and bottom-up synthesis.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Neurosciences
Simone Ferrari-Toniolo, Philipe M. Bujold, Fabian Grabenhorst, Raymundo Baez-Mendoza, Wolfram Schultz
Summary: Expected Utility Theory describes choices as a process of maximizing utility, where decision makers assign subjective value to each choice option and select the one with the highest utility. The continuity axiom is central to the theory, requiring decision makers to be indifferent between different gambles, which is crucial for defining numerical utilities.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Energy & Fuels
Giovanni Artale, Nicola Panzavecchia, Valentina Cosentino, Antonio Cataliotti, Manel Ben-Romdhane, Amel Benazza-Ben Yahia, Valeria Boscaino, Noureddine Ben Othman, Vito Ditta, Michele Fiorino, Giuseppe Del Mastro, Salvatore Guaiana, Giovanni Tine, Dario Di Cara
Summary: This paper validates the feasibility of using a harmonic analysis algorithm on a microcontroller for measuring non-stationary signals in smart grids. The presence of electronic devices in operation, such as inverters of distributed generators and power converters of charging stations for electric vehicles, can generate non-stationary currents. A chirp-Z transform (CZT) algorithm is proposed as an alternative to the classical fast Fourier transform (FFT) algorithm, providing spectral resolution independent of the observation window. The CZT implementation on a low-cost commercial microcontroller is evaluated against the same algorithm implemented in LabVIEW, showing accurate measurement results and demonstrating the feasibility of reliable harmonic analysis measurements in non-stationary conditions on smart grids.
Article
Computer Science, Interdisciplinary Applications
Shreyanshu Parhi, Kanchan Joshi, Milind Akarte
Summary: This study fills the research gap by quantifying smart manufacturing performance indicators. Through a literature review methodology, potential indicators are defined, and a conceptual framework for decision-making in smart manufacturing is proposed.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Computer Science, Information Systems
Kamila Koteish, Hassan Harb, Mohammad Dbouk, Chamseddine Zaki, Chady Abou Jaoude
Summary: Agriculture is facing challenges such as increasing food demand, extreme weather conditions, and climate change. Smart agriculture, enabled by IoT technology, offers a solution by remotely monitoring field conditions and providing real-time data to farmers. However, the volume of collected data and energy consumption pose challenges. This paper proposes AGRO, a real-time agriculture monitoring mechanism, which efficiently senses soil moisture, saves energy, and enables informed decision-making.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Energy & Fuels
Alok Jain, Suman Bhullar
Summary: With the development of the Smart Grid concept, it is crucial to devise intelligent control and supervision methods for electrical power distribution systems. This paper proposes a smart distribution system concept and develops a MATLAB/SIMULINK model to study its control architecture. Various case scenarios are simulated and compared with real-time systems. Additionally, the performance of a Dynamic Voltage Restorer in voltage-related issues is demonstrated.
Article
Thermodynamics
Md Tanvir Ahammed, Imran Khan
Summary: The increase in population and adoption of new power appliances has led to a significant rise in electrical demands, causing challenges for utilities in maintaining supply-demand balance and resulting in issues like load-shedding and power quality drops, particularly in developing countries. By implementing efficient demand-side management algorithms in metering instruments, it is possible to mitigate these issues and increase consumer awareness of energy consumption. Introducing IoT-based smart meters can provide solutions for monitoring, bidirectional data transmission, and load-clipping, helping to maintain power quality parameters within standard limits and improve the balance between supply and demand.
Article
Engineering, Electrical & Electronic
Fugui Dong, Yuzhu Hou, Wanying Li, Yanyu Wang
Summary: This paper analyzes the impact of distributed power generation output volatility on distribution network planning, proposes an output state model using wind power system as an example, establishes a comprehensive decision-making objective function, and verifies the effectiveness of the model through practical examples.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Automation & Control Systems
Manish Aggarwal
Summary: This study analyzes uncertainty in real-world decision making and introduces a new entropy function specifically designed for human decision-making. The proposed function takes into account an agent's sensitivity to uncertainty and can handle both subjective and probabilistic uncertainties, with practical applications in portfolio diversification highlighted in a real case study.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Energy & Fuels
Ladislav Zjavka
Summary: Microgrid autonomous networks require effective planning and control of power supply, energy storage, and retransmission. Prediction and monitoring of power quality (PQ) and efficient utilization of Renewable Energy (RE) are crucial for optimizing system performance. Daily PQ predictions using Artificial Intelligence (AI) models are needed to account for atmospheric fluctuations and uncertainties in system states. Differential Learning, a novel soft-computing method, is compared with standard deep and probabilistic machine learning methods for modeling weather-dependent systems.
ENERGY STRATEGY REVIEWS
(2023)