- Solar Radiation and Photovoltaics
- Energy Load and Power Forecasting
- Electric Vehicles and Infrastructure
- Integrated Energy Systems Optimization
- Currency Recognition and Detection
- Electric Power Systems and Control
- Additive Manufacturing Materials and Processes
- Global Energy Security and Policy
- Energy and Environmental Sustainability
- Insect and Arachnid Ecology and Behavior
- Manufacturing Process and Optimization
- Electric Power System Optimization
- Photovoltaic System Optimization Techniques
- Additive Manufacturing and 3D Printing Technologies
- Smart Grid Energy Management
Bharath University
2019-2020
The paper addresses the problem of short-term renewable energy forecasting. stochastic nature sources affects power system planning procedures, subsequently reducing reliability and security supply for final customers. authors propose a machine learning approach effective day-ahead forecasting using retrospective metering data open source weather information provided by meteorological services. feature identification appropriate error metrics. For purpose testing user interface was created...
Fixture layout planning is critical for securely holding components during production processes. An optimal fixture arrangement minimizes surface deformation and prevents crack propagation, thereby maintaining the structural integrity of components. Traditionally handled by engineers, has grown too complex manual methods alone. Conventional optimization often gets stuck in local optima, limiting effectiveness. While machine learning offers improvements, it demands costly, labeled data. This...
This article highlights the industry experience of development and practical implementation a short-term photovoltaic forecasting system based on machine learning methods for real industry-scale power plant implemented in Russian using remote data acquisition. One goals study is to improve plants generation accuracy open-source meteorological data, which provided regular weather forecasts. In order robustness terms accuracy, we apply newly derived feature introduction, factor obtained as...
The paper describes the methodology for consideration of renewable energy sources in strategic plans fuel and sector development. inclusion projects development programs is carried out based on results an integrated ranking technical, economic environmental criteria. For power generation facilities sources, potential additionally addressed accordance with list technologies under consideration, which makes it possible to obtain values installed capacity utilization factors, and, as a...
3D printing is an emerging technology that creates parts straight from CAD models. Direct Metal Laser Sintering (DMLS) a method becoming increasingly popular in the aerospace, medical, and orthopedics sectors. These are usually focused on precise, long-lasting, lightweight parts. DMLS Additive Manufacturing (AM) technique employs laser to sinter selected area of metallic powder layer by produce required metal components. The heating power was discovered have strong effect phase formation....
The paper discusses a practical case of creating an autonomous microgrid for remote residential customers power supply. Due to the specifics geographic location, main scenarious, considered within framework study are : distribution network conncetion, creation diesel plant, hybrid micro-grid based on wind plants and energy storage. In study, load forecast has been made methodology determining installed capacity generation sources is presented. According criteria technological efficiency...
The perceived applicability of honey bee mating optimization HBMO and Particle Swarm Optimization PSO among the research scholars in Tamil Nadu are understudied. purpose present study is to address this dearth literature three ways: (i) providing descriptive data related these algorithm their area study. (ii) Applying Three Factor theory assess range two said theories develop, a theoretically-based model that predicts robustness comparative basis grounded on perceptual collected from all...
International Journal of Computer Sciences and Engineering (A UGC Approved indexed with DOI, ICI Approved, DPI Digital Library) is one the leading growing open access, peer-reviewed, monthly, scientific research journal for scientists, engineers, scholars, academicians, which gains a foothold in Asia opens to world, aims publish original, theoretical practical advances Science,Information Technology, (Software, Mechanical, Civil, Electronics & Electrical), all interdisciplinary streams...