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10 articles for “Dynamic Energy Pricing”
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AI-BASED SMART RESOURCE DEMANDAND PRICE PREDICTION USING MACHINE LEARNING FOR EFFICIENT RESOURCE MANAGEMENT
Abstract: AI and machine learning models now help manage resource supplies and price changes across key Indian markets. The development and application of advanced predictive analytics in India's agriculture supply chain and wholesale energy market systems are examined here. Although agriculture occupies over 40% of India's land area, it accounts for approximately 15–18% of the national Gross Domestic Product (GDP). In order to regulate the PDS, unify land information, and optimize …
Published in Trends in Electrical Engineering · Vol. 16, Issue 3, 2025 Read article
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Random Forrest Based Man-in-the-Middle Attack Detection in Advanced Metering Infrastructure
Abstract: Advanced metering infrastructure (AMI) plays a central role in the operation of modern smart grid (SG) systems by enabling continuous, two-way communication between utility providers and consumers. Through this communication, AMI supports real-time monitoring, dynamic pricing, and efficient energy management. However, the same connectivity that makes AMI effective also increases its exposure to cyber threats. One of the most critical threats is the man-in-the-middle (MITM) attack, in which an attacker …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 1–8 Read article
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Optimizing Residential Energy Costs with PEV-based Energy Storage and Particle Swarm Optimization
Abstract: This research addresses the critical challenge of optimizing electrical energy usage amidst the increasing integration of variable renewable energy sources and the widespread adoption of electric vehicles (EVs). The core objective is to alleviate the energy cost burden for residential consumers by leveraging the capacity of Plug-in Electric Vehicles (PEVs) as an auxiliary energy source. Through innovative utilization of PEVs for both charging and discharging actions based on dynamic electricity …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 3, 2024 · pp. 19–29 Read article
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Strategies for Efficient Integration of Distributed Energy Resources into Microgrid Systems
Abstract: With the growing integration of Distributed Energy Resources into modern power systems, the global energy landscape is changing. Some of the DERs are solar photovoltaic (PV), wind turbines, battery storage systems, combined heat and power (CHP) units, and electric vehicles (EVs). Some of the advantages include lower transmission losses, better energy efficiency, and more resilience to grid failures. However, the far-reaching integration of DERs carries with it considerable technical, economic, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 51–56 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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Exploratory Analysis of the Statistical Characteristics of Nuclear Fuel Cost Trends
Abstract: Nuclear power reactors of the current fleet mainly use uranium as the fissile fuel material. The economics of nuclear fuels are mainly governed by the prices of uranium. This work is an analysis of monthly uranium price data available from public data sources, covering the time frame from January 1990 to April 2025. In the near term, from 2021 to 2024, monthly uranium spot prices have been between $ 35.28±6.64/lb …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 39–49 Read article
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Optimized Household Energy Management System for Demand Response using DFDGCN- BWWPO Technique
Abstract: Energy management in smart homes is becoming one of the main requirement because of fast growth in electricity demand, renewable sources, and electric vehicles. A proper household energy management system not only reduce the energy cost but also help to maintain stability of power grid. Demand Response (DR) program play very big role in this process by shifting or controlling the load according to price and availability of renewable power. …
Published in Trends in Electrical Engineering · Vol. 16, Issue 3, 2025 Read article
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CFD Analysis of Savonius VAWT for Household Application
Abstract: Fossil fuels are depleting at very fast rate and will have shortages in near future. Also, prices of fuelsincrease day-by-day, demands of renewable energy sources increases for electrical power generation.Wind energy is available in nature free of cost and in abundant form, so is an excellent option forgeneration of electric power through wind turbine technology. Rapid increase in global energyrequirement resulted in considerable attention towards renewable energy sources as there …
Published in Journal of Experimental & Applied Mechanics · Vol. 12, Issue 1, 2021 · pp. 18–32 Read article
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Scheduled Charging and Discharging of Electric Vehicles for Charging Cost Optimization
Abstract: The growing number of Electric Vehicles (EVs) will have remarkable impacts on the power grid as it leads to the increase in total energy consumption. This increases the overall burden on the grid which would require new power plants. However, it is possible to minimize the impact by proper scheduling for charging and discharging of electric vehicles. In this paper, three optimal schemes have been compared i.e. global optimal scheduling …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 3, 2021 · pp. 1–10 Read article
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Scheduled Charging and Discharging of Electric Vehicles for Charging Cost Optimization
Abstract: The growing number of Electric Vehicles (EVs) will have remarkable impacts on the power grid as it leads to the increase in total energy consumption. This increases the overall burden on the grid which would require new power plants. However, it is possible to minimize the impact by proper scheduling for charging and discharging of electric vehicles. In this paper, three optimal schemes have been compared i.e. global optimal scheduling …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 4, 2022 · pp. 1–10 Read article