An Overview of Electricity Demand Forecasting Techniques

Load forecasts are extremely important for energy suppliers and other participants in electric energy generation, transmission, distribution and markets. Accurate models for electric power load forecasting are essential to the operation and planning of a utility company. Load forecasts are extremely important for energy suppliers and other participants in electric energy generation, transmission, distribution and markets. This paper presents a review of electricity demand forecasting techniques. The various types of methodologies and models are included in the literature. Load forecasting can be broadly divided into three categories: short-term forecasts which are usually from one hour to one week, medium forecasts which are usually from a week to a year, and long-term forecasts which are longer than a year.  Based on the various types of studies presented in these papers, the load forecasting techniques may be presented in three major groups: Traditional Forecasting technique, Modified Traditional Technique and Soft Computing Technique. Keywords: Electricity Demand, Forecasting Techniques, Soft Computing, Regression method, SVM

Is CSR Expenditure Relevant to the Firms in India?

The present study examines the relevance of Corporate Social Responsibility (CSR) expenditure to the firms in the mandatory regime in India. The paper has its theoretical basis from the instrumental aspect of the Stakeholder theory, which assumes a positive influence of CSR over financial performance. Therefore, the study hypothesizes that the firms which fulfill the CSR expenditure requirement will exhibit higher stock returns and lower systematic risk. Since India mandated CSR in the year 2014, the data of four years (2016-2019) for the sample of 426 National Stock Exchange (NSE) listed Indian firms are taken to employ the OLS regression method. The CSR expenditure in the mandatory regime was not found to be relevant to the firms because of an insignificant positive impact of mandatory CSR expenditure on stock returns. Thus, the instrumental aspect is not supported by the findings. However, the findings indicate a decrease in the systematic risk of the firms. Only a few studies in India investigated this phenomenon in the mandatory regime. Further, the contributions of the study to the CSR literature are fairly useful from the perspective of firms, investors, policy-makers, regulators, scholars, and countries that are planning for legislating CSR

Comparative Evaluation of Gap Arthroplasty and Interpositional Arthroplasty using Temporalis Fascia in the Management of Temporomandibular Joint Ankylosis

Introduction: The ankylosis of temporomandibular Joint (TMJ) is challenging problem for both patient and surgeon. A variety of techniques for treatment of TMJ ankylosis have been described in literature. There are three basic techniques are currently employed: gap arthroplasty, interpositional arthroplasty and joint reconstruction. However, no single method has produced uniformly successful results. Limited range of motion and reankylosis are most frequently reported complication. Aims and objectives: The purpose of this study was to evaluate and compare the two available techniques of gap arthroplasty to achieve maximum interincisal mouth opening for the treatment of ankylosis and the objective was to select postoperative regimen and better technique to minimize reankylosis. Materials and methods: Twenty patients with TMJ ankylosis were included in this study. The age of selected patients were in ranged from 5 to 25 years and divided in two groups. In group I patients, gap arthroplasty was performed and in group II patients, interpositional arthroplasty with temporalis facias flap was performed. Results: There is no significant difference observed in postoperative mouth opening. In group I patients treated with gap arthroplasty the postoperative mean interincisal opening after 1 year follow-up was 30.60 mm and in group II mean interincisal opening after 1 year follow-up was 32.60 mm. Conclusion: From the result one can conclude that there is no significant difference between the patients treated with interpositional arthroplasty and gap arthroplasty. The overall outcome of the treatment depends on patient’s cooperation, active physiotherapy and regular follow-up.&nbsp

Trajectory Optimization for Safe Navigation in Maritime Traffic Using Historical Data

DSO National Laboratorie

Intelligent Control of Irrigation Systems Using Fuzzy Logic Controller

In this paper, we explain the design and implementation of an intelligent irrigation control system based on fuzzy logic for the automatic control of water pumps used in farms and greenhouses. This system enables its user to save water and electricity and prevent over-watering and under-watering of the crop by taking into account the climatic parameters and soil moisture. The irrigation system works without human intervention. The climate sensors are packaged using electronic circuits, and the whole is interfaced with an Arduino and a Simulink model. These sensors provide information that is used by the Simulink model to control the water pump speed; the speed of the water pump is controlled to increase or decrease the amount of water that needs to be pushed by the pump. The Simulink model contains the fuzzy control logic that manages the data read by the Arduino through sensors and sends the command to change the pump speed to the Arduino by considering all the sensor data. The need for human intervention is eliminated by using this system and a more successful crop is produced by supplying the right amount of water to the crop when it is needed. The water supply is stopped when a sufficient amount of moisture is present in the soil and it is started as soon as the soil moisture levels drops below certain levels, depending upon the environmental factors