Total Articles : 6
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 …
[This section belongs to Trends in Electrical Engineering ]
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 …
[This section belongs to Trends in Electrical Engineering ]
Design and Implementation of Onboard Electric Vehicle (EV) Charging System
Abstract: Increasingly more electric vehicles (EVs) are being used, resulting in a higher demand for an onboard EV or onboard charging system that is efficient and safe, and that also will provide reliable performance for EVs under different conditions. A …
[This section belongs to Trends in Electrical Engineering ]
Quantum-Inspired Optimization of Multi-Level Power Converter Switching Sequences for Harmonic Reduction
Abstract: The increasing adoption of multilevel power converters in renewable energy systems, electric vehicles, and smart grid applications has created a growing demand for advanced switching optimization techniques capable of minimizing harmonic distortion …
[This section belongs to Trends in Electrical Engineering ]
Advanced Energy Management in Distribution Substations Incorporating Energy Storage and Demand Side Management for Increased Profitability
Abstract: In recent years, energy system going very complex because of more renewable sources, electric vehicles, storage devices and smart consumer demand. Old distribution grid cannot handle this complexity properly. For this reason, many researchers work on …
[This section belongs to Trends in Electrical Engineering ]
Controlled Temporal Feature Ablation and Explainable Ensemble Learning for Next- Hour Residential Electricity Forecasting
Abstract: Short-term residential load forecasting is increasingly used in demand response, home energy management, and data-driven grid operation, yet reported gains are often difficult to attribute to either the forecasting algorithm or the temporal …
[This section belongs to Trends in Electrical Engineering ]