Multistep power consumption forecasting is smart grid electricity management’s most decisive problem. Moreover, it is vital to develop operational strategies for electricity management systems in smart cities for commercial and residential users. However, an efficient electricity load forecasting model is required for accurate electric power management in an intelligent grid, leading to customer financial benefits. In this article, we develop an innovative framework for short-term electricity load forecasting, which includes two significant phases: data cleaning and a Residual Convolutional Neural Network (R-CNN) with multilayered Long Short-Term Memory (ML-LSTM) architecture. Data preprocessing strategies are applied in the first phase over raw data. A deep R-CNN architecture is developed in the second phase to extract essential features from the refined electricity consumption data. The output of R-CNN layers is fed into the ML-LSTM network to learn the sequence information, and finally, fully connected layers are used for the forecasting. The proposed model is evaluated over residential IHEPC and commercial PJM datasets and extensively decreases the error rates compared to baseline models.
This paper presents the review of literatures that shows the contribution of the agile methodology towards teaching and learning environment at university level. Teaching and learning at university has since migrated from traditional learning to active learning methodology where students are expected to learn by doing rather than listening passively to lectures alone. The agile methodology naturally has promoted the active participation of team members during system development phases. Some literature have proposed ways of adopting agile into active learning to improve teaching and learning processes and have highlighted this method as a great success. We would like to highlight how efficient the agile concept is in tackling several situations in academic learning as shown by an interesting mapping of agile principles to the classroom environment. We also offer options for the agile evaluation framework to consider academic environment as a tool to obtain the agile performance feedback.
This paper focuses on the study of a bankruptcy prediction model using a hybrid machine learning that combines two synergistic algorithms i.e. two-class boosted decision tree and multi-class decision forest. The hybrid model ensures the building of multiple decision trees whereby the latest tree corrects the previous tree, learning from the tagged data and subsequently votes on the most popular tree as the final decision of the ensemble. This hybrid machine learning is proposed to be an alternative of the bankruptcy prediction models that is able to produce three major classifications i.e. bankruptcy, grey area, and non-bankruptcy. There are five variables considered in the hybrid model which consist of working capital for total assets, retained by total asset, earnings before interest and taxes on total asset, market value of equity to total bank value of liabilities and sales of total asset. These input data are applied and tested to the public dataset produced by Bank Indonesia from year 2011-2015. The hybrid model shows a significant result whereby the overall area under curve (AUC) had successfully achieved 95% value that indicates the capability of the hybrid model to train the test data and identify the relationship of input-output data. This finding suggests that the machine learning approach can be treated as an alternative tool to build a bankruptcy prediction model for banking industry. Introduction
The purpose of this study is to look into the components that affect the behavioral intention of Jordanians to use Virtual Reality Technology in the Learning Environment (VRTLE). For the educational and entertainment industries, virtual reality presents both obstacles and opportunities. The goal of this study is to determine the factors that influence VRTLE acceptance and to propose how such technology may be integrated into the educational setting of students and universities. A total of 60 students from private universities took part in the research. Among the participants, 63.3% were females and 36.7% were males. The modified UTAUT model used in this study only looked at the effects of four independent variables and two external factors, namely, acceptability (ACC) and usability (USA). Acceptability and usability have a substantial impact on student acceptance of VRTLE, according to the findings. Furthermore, as moderators, there is a major effect on both Awareness and Experience. This paper contributes significantly to the UTUAT model. It also tackles educational concerns about the transition to a virtual reality learning environment. As a result, it would be useful to look into other factors as well. As a result, a comprehensive empirical study should be designed to allow for the assessment of the effects of other variables as well.
This study intends to design a sales accounting information system for UMKM Toko Utara Game. The purpose of this study is to design a sales information system with EMKM standards at Toko Utara Game that can be implemented as one of the human error risk management that might occur if the system is run conventionally and not computerized. The research method used in this study is a descriptive research method, in which the author analyzes and describes events that occur in the present with the intention of overcoming problems that occur at Toko Utara Game. The types of data used in this research are primary data and secondary data. Data collection techniques used in this study were interviews, observation and literature studies. The results of interviews and observations are used as primary data and the results of literature studies are used as secondary data. The system development methodology used in this study is the prototyping method with an object-oriented system design method using UML (Unified Modeling Language). The system design made in this study is a Use Case Diagram, an Activity Diagram, and uses an Entity Relationship Diagram (ERD). At the stage of creating the program code, researchers used the Java and MYSQL programming languages which were poured into the NetBeans IDE8.1 software using XAMPP as a web server. The result of this implementation is the design of a web-based sales application so that Toko Utara Game sales management can be computerized properly.
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