In a smart grid, several optimization techniques have been developed to schedule load in the residential area. Most of these aim at minimizing energy consumption cost and comfort electricity consumer. Conversely, maintaining balance between two conflicting objectives: user is still challenging task. Therefore, this paper, we minimize discomfort while taking into account peak consumption. regard, implement analyse performance traditional dynamic programming (DP) technique heuristic...

In recent years, no other technology has revolutionised our life as Generative Artificial Intelligence (GenAI).GenAI gained the attention of a myriad users in almost every profession.Its advancement had an intense impact on education, significantly disrupting assessment design and evaluation methodologies.Despite potential benefits possibilities GenAI education sector, there are several concerns primarily centred around academic integrity, authenticity, equity access, methodology,...

An increase in the world’s population results high energy demand, which is mostly fulfilled by consuming fossil fuels (FFs). By nature, FFs are scarce, depleted, and non-eco-friendly. Renewable sources (RESs) photovoltaics (PVs) wind turbines (WTs) emerging alternatives to FFs. The integration of an storage system with these provides promising economical satisfy user’s load a stand-alone environment. Due intermittent nature RESs, their optimal sizing vital challenge when considering cost...

In the last couple of decades, numerous energy management strategies have been devised to mitigate effects greenhouse gas emission, hence introducing concept microgrids. a microgrid, distributed generators are used. Microgrid enables point which ameliorates in exchanging power with main grid during different times day. Based on system constraints, this work, we aim efficiently minimize operating cost microgrid and shave consumption peaks. For purpose, introduce an improved binary bat (iBBat)...

In the last couple of years, academia-industry collaboration has demonstrated rapid advancements in development self-driving vehicles. Since it is evident that vehicles are going to reshape traditional transportation systems near future through enhancement safe and smart mobility, motion control while performing driving tasks a dynamic road environment still challenging task. this regard, we present comprehensive study considering evolution steering methods for Initially, discussed an...

Since years, road collisions are a public issue which needs to be dealt. In this regard, the researchers have worked on developing autonomous vehicles. way, number of been reduced great extent. But their is need develop simulator helps pretest vehicles in different scenarios before launching them market. Hence, research work, we propose an pre-train real world. The effectiveness has proved through performing extensive experiments.

A key requirement in the development of self-driving vehicles is accurate steering angle estimation. In this paper, we present a novel computation approach for using computer vision-based technique to navigate controlled environment. We have performed color-based thresholding segment drivable region road. Moreover, Circle-Rectangle-based shapes are detected from interest compute automated navigation customized vehicles. To evaluate performance our proposed approach, conducted simulations...

GenAI has gained the attention of a myriad users in almost every profession. Its advancement had an intense impact on education, significantly disrupting assessment design and evaluation methodologies. Despite potential benefits possibilities education sector, there are several concerns primarily centred around academic integrity, authenticity, equity access, methodology, feedback. Consequently, academia is encountering challenges that essential to retaining integrity age GenAI. In this...

Disaster events often unfold rapidly, necessitating a swift and effective response. Developing action plans, resource allocation, resolution of help requests in disaster scenarios is time-consuming complex since disaster-relevant information uncertain. Leveraging real-time data can significantly deal with uncertainty enhance response efforts. To uncertainty, social media appeared as an alternative source there has been extensive use during after the disasters. However, it also brings forth...

In an automated steering system of the self-driving vehicles, wheel angle is measured by absolute angular displacement sensors or relative sensors. However, these either encompass global navigation satellite systems (GNSS)/gyroscope – Micro Electromechanical-Sensor (MEMS) based solutions comprise complex gear-based mechanical structure which results in latency and additive bias accumulative assessment. To address issues, we propose a novel assessment on enhanced gear mechanism along with...

With the rapid emergence of autonomous vehicles, there is a need to build such communication systems which help passengers communicate with vehicles (AVs) robustly. In this regard, research work presents multimodal passenger system. The communica-tion system known as “buddy" for AVs. Buddy an all in one control AVs incorporates touch, speech, text, and emotion recognition methods interaction. makes it easy interact It enables between AV eventually provides safe driving experience. Moreover,...

The collision-free path planning is crucial for an autonomous vehicle. It saves life and helps to complete the task in time. computational intelligence mimics human solves these types of problems which conventional techniques fail provide optimal solutions. In literature, except evolutionary have not been utilized land vehicles. this regard, we employ clonal selection algorithms collision avoidance To check effectiveness our proposed scheme, compare performance algorithm with genetic...