Hybrid the artificial intelligence and swarm-based optimization algorithm for load forecasting in the smart grid
Electricity load forecasting algorithms are used in the smart grid to predict the electricity demand in the future. Besides that, it helps in reducing the electricity generation cost. In the literature, three types of load forecasting are done such as short-term, medium-term, and long-term. In this paper, the short term forecasting is done. The short-term forecasting algorithm predicts the electricity demand from a few hours to several weeks ahead. Due to the nonlinear, nonstationary, and non-seasonal nature of the electric load time series, accurate forecasting is challenging. In this paper, Artificial Intelligence (AI) and the swarm optimization algorithm is hybrid in order to improve the prediction of load forecasting. We have considered Artificial Neural Network (ANN) and Binary Particle Swarm Optimization (BPSO) algorithms in our work. The BPSO algorithm used to improve the learning rate in the ANN network. The experimental results were simulated in MATLAB and various performance metrics such as RMSE, MAPE, minimum and maximum error determined. The results show that the proposed algorithms provide better results as compared to the existing algorithms.
Published by: Kuljeet Singh Sandhu, Puneet Jain
Author: Kuljeet Singh Sandhu
Paper ID: V7I1-1179
Paper Status: published
Published: January 23, 2021
Strength analysis of styrene-butadiene latex modified cement concrete
Polymer Modified Concrete (P.M.C.) has been discovered to be more potent than conventional cement because of its excellent strength and raised perseverance, so to enhance the performance, certain polymers are blended in with concrete. The impact of Styrene Butadiene Rubber (S.B.R.) over the compressive strengths, tensile strengths, and carbonation of cement has been examined in this investigation, and the ideal polymer content for concrete has additionally been resolved. This examination was attempted to decide the impacts of polymer expansion on compressive and tensile strengths utilizing concrete at nearby ambient temperature with a consistent water-cement proportion blend design. The mixes were prepared with a 0 %, 5 %, 10 %, 15 % and 20 % cement-latex ratio of Styrene-Butadiene Rubber. The fresh concrete slump test was performed while the compressive and tensile strengths were analyzed at various ages. S.B.R. latex has been appeared to have an unfavorable effect at an early age, even though applying S.B.R. latex to concrete at 28 days brings about improved compressive and tensile strength. However, the dosage of S.B.R. latex for mixtures rich in cement needs to be optimized in order to preserve the desired concrete workability.
Published by: Prafull Kumar Swarnkar, Abhay Srivastava
Author: Prafull Kumar Swarnkar
Paper ID: V7I1-1189
Paper Status: published
Published: January 23, 2021
Design and fabrication of semi-automatic dishwasher machine
Though a lot of human activities are automated in the present competitive world. There is a lag in the automated dishwasher. Some machines are already designed with the help of high-velocity water only; hence there is a chance of uncleanliness and not removing tough strains in dishes. In order to overcome the above problems a special machine called – Semiautomatic Dishwasher Machine” with shower and water jet introduced in this work. The project is to design and fabricate a semiautomatic dishwasher that is efficient and overcome human work. In the market existing dishwasher, the spray arm is not sufficient to spray water in each part of the dish. So, keeping this in mind, we designed the circular rack and spray arm in the center of the machine which will spray the water equally and effectively in each and every area of the dish. The machine has less cycle time, less energy consumption, less water required for cleaning as compared to a manual machine.
Published by: Akash Gautam Gaurkhede, Dr. Mahendra P. Nawathe
Author: Akash Gautam Gaurkhede
Paper ID: V7I1-1187
Paper Status: published
Published: January 22, 2021
Hybrid the bat and particle swarm optimization for demand-side management in the smart grid
The main goal of the demand side management program is shaping the load demand from peak load period to off-load period to reduce the generation cost. In the literature, various types of load shaping objectives available such as load shifting, valley filling, and peak clipping. In this paper, two optimization algorithms hybrid for load shaping. We have considered the BAT and Particle Swarm Optimization (PSO) algorithms in our work. These algorithms turn on/off the devices in an optimal way to reduce the cost and load consumption. The algorithm is simulated in MATLAB for two case studies in which 3 and 5 devices are taken under consideration. We have measured the total load consumption, cost, and execution time for the proposed algorithm and compared it with the existing algorithms. The results show that the proposed algorithm provides less load consumption and cost as compared to Normal ON-OFF and PSO algorithm.
Published by: Navdeep Singh Dhaliwal, Puneet Jain
Author: Navdeep Singh Dhaliwal
Paper ID: V7I1-1181
Paper Status: published
Published: January 22, 2021
Enhance data hiding capacity and reduce variability using image steganography for smart grid
In the Smart Grid (SG) network, the sensitive data is communicated over the network and it prone to attacks. In order to overcome these attacks, security algorithms like cryptography and steganography are used. Steganography algorithms provide imperceptibility by hiding the secret data in the cover image whereas cryptography algorithms scramble the data using a private key and scramble data gives attention to the attacker. In steganography, the Least Significant Bit (LSB) is the most preferred data hiding algorithm. In the LSB algorithm, the data is split into 1-bit chunks and hide in the cover image LSB bit. The LSB algorithm provides less variability with less embedding capacity. In this paper, we have designed an algorithm that provides better embedding capacity and lesser variability. Initially, the cover pixel read is read and its intermediate bits 5th and 6th are taken as a reference to hiding k-bits of data using the LSB algorithm. The benefit of taking the intermediate bits of the cover pixel as a reference is that no need to communicate reference bits information with the receiver. After that, the LSB bit of the stego image generated after data hiding is circularly rotated in order to reduce the variability. The experimental results were performed on the standard dataset images and various performance metrics calculated for it. Lastly, the proposed algorithm is compared with the existing algorithms and found that the proposed algorithm achieves randomness and better embedding capacity.
Published by: Muzamil Lateef Wagay, Puneet Jain
Author: Muzamil Lateef Wagay
Paper ID: V7I1-1180
Paper Status: published
Published: January 22, 2021
COVID-19 prediction and analysis of spreading rate
Covid-19 Disease started at the End of 2019 in china Wuhan city and Then spread in the whole world within three to four-month. The Coronavirus Disease-2019 (COVID-19) badly impacts the health and well-being of the Indians and the global population. The number of positive cases of Covid-19 on a daily basis is increasing and it’s created a lot of stress on governing bodies across the globe and they are finding it difficult to tackle the situation so they can handle the situation effectively. For solving this problem. We developed a COVID-19 Prediction And Analysis Of Spreading Rate system for every state and union territory of India. The purpose of the prediction model is to forecast the count of new cases likely to arise for successive 5 days using RNN and LSTM machine learning algorithms. A set of models for predicting the rise in new cases, having an average accuracy of 87.9% some time it will go above 90%. It was developed for every state and union territory of India. The highest accuracy of 93.93% was achieved for some states because of the availability of sufficient Data. For Eg. Maharashtra, Delhi. A data-driven approach with higher accuracy as here are often very useful for a proactive response from the govt and citizens. Through this project. we want to achieve our goal. Like 1.Analyzing the Spreading rate 2.Analyzing the recovery rate and mortality rate.3.Predicting future spreading rate for next 5 successive day.
Published by: Sumit Rasal, Rahul Mali, Ganesh Kannor, Danish Majeed, Shubham Patil, Sunita Nandgave
Author: Sumit Rasal
Paper ID: V7I1-1170
Paper Status: published
Published: January 21, 2021
