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875 articles for “demand”
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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Rapid Forecasting of Short-run Electric Power Demand Profiles of India Using the Statistical Method of Z Scores
Abstract: Power demand profile prediction for a region or nation is a critical part of the energy system design and operational planning process. A simplified method based on non-dimensionalizing power demand data from previous years using Z scores calculated from the mean and standard deviation of the profiles is developed in this study to forecast monthly demand profiles at time resolution of 1 hour for future years. The Z score range …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 38–48 Read article
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Demand Forecasting for Perishable Food Commodities Using Data Analytics
Abstract: This paper introduces a comprehensive study aimed at enhancing the forecasting of perishable food item demand. Focusing on solving the critical issue of waste management within the supply chain of food products, the research undertakes a comparative analysis of various machine learning models. The development of an optimized model that is capable of accurately forecasting the demand for perishable food items is the focus of this research. The research includes …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 3, 2024 · pp. 27–37 Read article
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Evaluating Advancements and Identifying Research Gaps in Automotive Spare Parts Demand Forecasting
Abstract: The automotive industry, a key driver of global economic activity, relies heavily on the effective management of spare parts to ensure vehicle longevity and reliability. Accurate prediction of demand for these components is imperative to uphold ideal stock levels, minimize expenditures, and elevate customer contentment. This review of literature assesses recent progressions in demand prediction methodologies for automotive spare parts, with a specific emphasis on conventional statistical methods and contemporary …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 47–58 Read article
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A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Advanced AI based Energy Monitoring and Demand Prediction with Theft Detection
Abstract: This paper presents a study on an AI-based energy management system, which is designed for real-time monitoring of energy consumption for theft detection and energy demand prediction. Our energy management system has voltage and current sensors for energy consumption measurement and provides real- time data on voltage (V), current (mA), and energy units. We have implemented Machine Learning algorithm SVM to improve the process of theft detection by identifying anomalies …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 Read article
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Forecasting Climate-Driven Healthcare Demand in Agricultural Regions: A Multi-Modal AI Approach
Abstract: The rapidly increasing instability of world climatic regimes has made past meteorological thresholds irrelevant, especially in the agricultural areas where monetary stability and well-being of humans are closely intertwined with an environmental situation. The more the frequency of 1 in every 1000-year events, i.e., heatwaves and catastrophic flooding increase, the greater the rural healthcare systems are in crisis, i.e., unable to predict a surge in demand because of data scarcity, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 28–38 Read article
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Space Pharmacy for Human Space Exploration: Overcoming Drug Stability, Packaging Challenges, Pharmacokinetic Variations, and Developing Innovative On-Demand Therapeutic Solutions for Long- Duration Missions Beyond Earth
Abstract: As humankind prepares for prolonged space exploration and the establishment of lunar and Martian habitats, ensuring reliable access to safe and effective medicines has emerged as a critical challenge. The evolving discipline of space pharmacy addresses the unique pharmaceutical needs of astronauts in microgravity and radiation-rich environments, where drug stability, packaging, and pharmacokinetics are markedly different from conditions on Earth. Traditional dosage forms often undergo accelerated degradation, while altered fluid …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 32–47 Read article
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Bioethanol and Beyond: A Comprehensive Review on Sustainable Biofuels for Global Energy Demands and Environmental Conservation
Abstract: This comprehensive review explores the concept of "biofuels," specifically focusing on energy-enriched chemicals generated through biological processes or derived from the biomass of living organisms, including microalgae, plants, and bacteria. As the global population continues to increase, there is a growing demand for more energy supplies to enhance the quality of life. Biofuels, harnessed from various sources such as sugar, starch, and organic waste, have emerged as potential solutions to …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 1–9 Read article
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Futuristics of Renewable and Non-renewable Resources in Electricity Demand for Carbon-free Transportation with Electric Vehicles
Abstract: Greenhouse gases significantly impact the global environment, with carbon being the most substantial contributor. Transport accounts for nearly 22% of total global carbon emissions, prompting the urgent need for sustainable alternatives. Electric Vehicles (EVs) present a promising solution for mitigating transportation-related emissions. This study explores the transition from fossil-fuel-based transportation to EVs, examining ownership costs, global power demand, renewable energy integration, and trends in EV manufacturing and sales. A comparative …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1408–1425 Read article
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Solar-Responsive Photo-Thermal Polymer Composites with Carbon Nanostructures for On-Demand Water Purification
Abstract: The development of solar-responsive polymer nanocomposites offers a sustainable pathway for water purification. In this work, polyvinyl alcohol (PVA) films reinforced with graphene nanoplatelets (GNPs) and multi-walled carbon nanotubes (MWCNTs) were fabricated and systematically investigated for their mechanical, thermal, viscoelastic, and thermal transport properties. Neat PVA displayed moderate tensile strength (~38 MPa) and high elongation (~165%), whereas 1.0 wt% nanofiller loading enhanced tensile strength to ~52 MPa and modulus to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 199–209 Read article
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Fluorosis- A Serious Health Problem which demands Sustainable Solution
Abstract: Two essential components of an Integrated Fluorosis Mitigation Programme include provision for regular supply of fluoride safe potable water to the fluorosis affected areas, and nutritional supplementation of Calcium, Vitamins, Iron, Protein and Antioxidants to fluorosis patients. Present study reports the experience of the authors gathered during their study on fluorosis problems in different fluorosis endemic areas of Bihar. They are fully convinced that of various methods available for providing …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 3, 2025 · pp. 26–33 Read article
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Structural Integrity Analysis of Reinforced Concrete Frames Under Progressive Collapse Scenarios
Abstract: This study examines how a tall reinforced concrete (RC) frame may gradually collapse under several column removal situations, such as edge, end, center, zigzag, and two-column failures. The study assesses the structural reaction based on displacement, inter-story drift, and Demand–Capacity Ratio (DCR) using nonlinear static pushover analysis carried out in ETABS. According to the analysis, the frame's stability is seriously jeopardized when two nearby columns and end columns are removed, …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 3, 2025 · pp. 1–15 Read article
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Integrated Water Balance and Water Stress Index–Based Sustainability Assessment of a Semi-Arid Island Ecosystem
Abstract: Freshwater scarcity is an increasingly critical challenge in semi-arid island environments due to limited natural water availability, high dependence on seasonal rainfall, growing population pressure, and expanding agricultural activities. Island ecosystems are particularly vulnerable to water stress because they often lack perennial surface water sources and rely heavily on groundwater recharge during short and highly variable monsoon periods. This study presents a comprehensive assessment of water demand, post-monsoon water availability, …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 26–41 Read article
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Supply Chain Optimization Using Big Data
Abstract: In the references to add productivity and short the appendences, and increase customer value, supply chain optimization is a very crucial part of contemporary business operations. Supply chain management has been transformed by the emergence of big data, which can provide analysis and insight from many different sources of information. This content explores the importance of using big data analytics to improve the delivery process. Thanks to the evolution of …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 19–25 Read article
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Improving Supply Chain Resilience through Predictive Analytics and Real-Time Data Integration
Abstract: Demand forecasting has under gone major changes because to the incorporation of automated analytics into supply chain management (SCM), which has improved company productivity, accuracy, and responsiveness. Central to this transformation is the application of machine learning (ML), which enables the analysis of large and complex datasets to identify patterns, detect trends, and generate precise forecasts. Conventional methods for predicting frequently rely on linear models and historical sales data, which …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 8–17 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Towards a Sustainable Future: A Comprehensive Study on Solar Power Satellites
Abstract: This study explores solar power satellites (SPS) as a promising solution for sustainable energy. Space-based solar power (SPS) offers a revolutionary approach to clean energy by collecting solar energy in space and transmitting it wirelessly to Earth. Unlike terrestrial solar power, SPS can operate continuously, unaffected by weather or nightfall, providing a stable and sustainable energy source. This study explores the core technologies that enable SPS, including advanced photovoltaic systems …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–8 Read article
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The Past, Present, and Future of Power Conversion Technologies for Computer, Networking, and Telecom Power Systems
Abstract: The power systems of modern computers, networking, and telecom equipment face formidable challenges due to the ongoing increase in power-density and efficiency requirements. Significant technological breakthroughs in system designs, devices and materials, topology optimization, and packaging/thermal design will be necessary to meet these objectives. To address these challenges, ongoing research and development efforts are being conducted in academia, industry, and government institutions. These efforts aim to revolutionize power system designs, …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 16–31 Read article