scholarly journals An Overview of Different Types of Load Forecasting Methods and the Factors Affecting the Load Forecasting

2017 ◽  
Vol V (IV) ◽  
pp. 729-733 ◽  
Author(s):  
Vikas Gupta
Keyword(s):  
Load Forecasting ◽  
Factors Affecting ◽  
Forecasting Methods ◽  
Different Types

scholarly journals Short-term load forecasting using Theta method

2019 ◽  
Vol 84 ◽  
pp. 01004 ◽  
Author(s):  
Grzegorz Dudek
Keyword(s):  
Empirical Studies ◽  
Load Forecasting ◽  
Seasonal Cycles ◽  
Short Term ◽  
Forecasting Accuracy ◽  
Forecasting Methods ◽  
Short Term Load Forecasting ◽  
Data Definition ◽  
System Data ◽  
Theta Method

The Theta method attracted the attention of researchers and practitioners in recent years due to its simplicity and superior forecasting accuracy. Its performance has been confirmed by many empirical studies as well as forecasting competitions. In this article the Theta method is tested in short-term load forecasting problem. The load time series expressing multiple seasonal cycles is decomposed in different ways to simplify the forecasting problem. Four variants of input data definition are considered. The standard Theta method is uses as well as the dynamic optimised Theta model proposed recently. The performances of the Theta models are demonstrated through an empirical application using real power system data and compared with other popular forecasting methods.

Deceleration of sliding motorcycles (mainly scooters) in accident reconstructions

2017 ◽  
Vol 232 (7) ◽  
pp. 866-876 ◽  
Author(s):  
Carlo Cialdai ◽  
Dario Vangi ◽  
Antonio Virga
Keyword(s):  
Urban Areas ◽  
Test Session ◽  
Road Accidents ◽  
Factors Affecting ◽  
Different Types ◽  
Energy Dissipated ◽  
Comparison Of The Results ◽  
Two Wheeler ◽  
The Impact ◽  
Good Agreement

This paper presents an analysis of the situation in which a two-wheeler (i.e. a motorcycle, where the term motorcycles includes scooters) falls over to the side and then successively slides; this typically occurs in road accidents involving this type of vehicle. Knowing the deceleration rate of the sliding phase allows the kinetic energy dissipated and the speed of the motorcycle just before the fall to the ground to be calculated. These parameters are very important in the analysis and reconstruction of accidents. The work presented in this paper was developed in two experimental test sessions on fully faired motorcycles which are mainly of the scooter type and widely used in urban areas. In the first session, sliding tests were carried out, with the speed in the range 10–50 km/h, on three different types of road surface. Analysis of the evidence allowed the dissipative main phases of motion of the motorcycle (the impact with the ground, the rebounds and the stabilized swiping) to be identified and some factors affecting the phenomenon to be studied. The coefficient of average deceleration was calculated using two typical equations. The second test session consisted of drag tests. In these tests, the motorcycle, which had previously laid on its side, was dragged for a few metres at a constant speed of about 20 km/h, while the drag force was measured. A comparison of the results obtained in these tests with those obtained in the sliding tests yielded very good agreement in the coefficients of deceleration.

A comparative study of short-term load forecasting methods in distribution network

2021 ◽  
Vol 15 (1) ◽  
pp. 23-35
Author(s):  
Tuan Ho Le ◽  
◽  
Quang Hung Le ◽  
Thanh Hoang Phan
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Artificial Neural Network ◽  
Arima Model ◽  
Distribution Network ◽  
Load Forecasting ◽  
Short Term ◽  
Load Demand ◽  
Forecasting Methods ◽  
Short Term Load Forecasting

Short-term load forecasting plays an important role in building operation strategies and ensuring reliability of any electric power system. Generally, short-term load forecasting methods can be classified into three main categories: statistical approaches, artificial intelligence based-approaches and hybrid approaches. Each method has its own advantages and shortcomings. Therefore, the primary objective of this paper is to investigate the effectiveness of ARIMA model (e.g., statistical method) and artificial neural network (e.g., artificial intelligence based-method) in short-term load forecasting of distribution network. Firstly, the short-term load demand of Quy Nhon distribution network and short-term load demand of Phu Cat distribution network are analyzed. Secondly, the ARIMA model is applied to predict the load demand of two distribution networks. Thirdly, the artificial neural network is utilized to estimate the load demand of these networks. Finally, the estimated results from two applied methods are conducted for comparative purposes.

Treating Afro hair loss: signs, symptoms and specialist interest

2021 ◽  
Vol 10 (5) ◽  
pp. 190-197
Author(s):  
Ingrid Wilson
Keyword(s):  
Black Women ◽  
Hair Loss ◽  
Factors Affecting ◽  
Different Types ◽  
Recent Developments ◽  
Hair Care ◽  
Care Practices ◽  
The Aesthetic ◽  
The Impact ◽  
Symptoms And Signs

This article explores the different types of hair loss that black women may experience more than other groups of patients. Properties of African hair and the impact of hair care practices are discussed, as well as factors affecting the presentation of other hair loss conditions. It is important for the aesthetic practitioner to be able to distinguish between the temporary forms of hair loss that they can help to treat and the permanent or scarring forms of hair loss, which need a prompt referral to a dermatologist with a specialist interest in hair. Prompt recognition and referral can help to delay the progression of hair loss. The symptoms and signs that patients and practitioners should be alerted to are explored, as well as the treatments that can help and where referrals may be necessary. Recent developments and gaps in knowledge are summarised.

scholarly journals Mutual fund investors perception in India-a study

2017 ◽  
Vol 7 (1.1) ◽  
pp. 60
Author(s):  
R. Udhayasankar ◽  
K. Maran
Keyword(s):  
Mutual Funds ◽  
Mutual Fund ◽  
Financial Risk ◽  
Fund Raising ◽  
Factors Affecting ◽  
Derivative Instruments ◽  
Different Types ◽  
Small Investors ◽  
Investment Option ◽  
Short Span

Mutual fund is four decades old in India.  It was started by UTI during the year 1964 with few schemes for small investors. During this short span of time it has made tremendous growth in Indian small investors. But now a day’s its volume of investors and sources of investment also growing tremendous level. Moreover mutual fund scheme have added new dimension to overcome financial risk of small investors and also in fund raising capacity of corporate sectors. Mutual fund investors can diversify even more by purchasing different kind of stocks which will helps to spreading out investors’ money across different types of derivative instruments and hence it reduces the risk tremendously up to certain extent and it is automatically diversify in a predetermined category of investments. This serves bridge work between small investors and corporate sectors likewise considering those points in this paper is an attempt to know the investors’ perceptions towards selected mutual funds. This paper makes an attempt to identify various factors affecting perception of investors regarding investment in mutual funds. The findings will helpful to identify the investors’ interest base and factors clearly and it reveals that the investors consider mutual funds as flexible investment option and it creates interest of investment among small investors.

scholarly journals Early-Age Cracking in Concrete: Causes, Consequences, Remedial Measures, and Recommendations

2018 ◽  
Vol 8 (10) ◽  
pp. 1730 ◽  
Author(s):  
Md. Safiuddin ◽  
A. Kaish ◽  
Chin-Ong Woon ◽  
Sudharshan Raman
Keyword(s):  
Service Life ◽  
Concrete Structures ◽  
Real Life ◽  
Early Age ◽  
Structural Elements ◽  
Remedial Measures ◽  
Curing Conditions ◽  
Factors Affecting ◽  
Different Types ◽  
Service Conditions

Cracking is a common problem in concrete structures in real-life service conditions. In fact, crack-free concrete structures are very rare to find in real world. Concrete can undergo early-age cracking depending on the mix composition, exposure environment, hydration rate, and curing conditions. Understanding the causes and consequences of cracking thoroughly is essential for selecting proper measures to resolve the early-age cracking problem in concrete. This paper will help to identify the major causes and consequences of the early-age cracking in concrete. Also, this paper will be useful to adopt effective remedial measures for reducing or eliminating the early-age cracking problem in concrete. Different types of early-age crack, the factors affecting the initiation and growth of early-age cracks, the causes of early-age cracking, and the modeling of early-age cracking are discussed in this paper. A number of examples for various early-age cracking problems of concrete found in different structural elements are also shown. Above all, some recommendations are given for minimizing the early-age cracking in concrete. It is hoped that the information conveyed in this paper will be beneficial to improve the service life of concrete structures. Concrete researchers and practitioners may benefit from the contents of this paper.

Sign in / Sign up

Export Citation Format

Share Document