Smart Grid Analytics for Sustainability and Urbanization in Big Data

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Physics; Research & information: general; adaptive cuckoo search optimization (ACSO); artificial fish swarm algorithm; artificial neural network; automatic generation control; automatic voltage regulator; circular economy; class imbalance; convolutional neural network; corona virus herd immunity optimization; cultural heritage; day ahead energy prediction; deep learning; demand response; demand side management; dispatch strategies; distribution generation; dragonfly optimization algorithm (DOA); dynamic incentives; economic load dispatch; electric vehicles; electricity load forecasting; electricity price forecasting; electricity theft detection; energy efficiency; energy management; energy optimization; flexible load; forecasting; fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN); GA; Garra Rufa ptimization; gated recurrent units; genetic algorithm; GRU; healthcare; hybrid genetic-artificial fish swarm algorithm; improved particle swarm optimization (IPSO); innovation systems; intelligent regions; load frequency control; load scheduling; local growth; low carbon emission; machine learning; maximum power point tracking (MPPT); microgrid; MLP; multi-area interconnected power system; multi-objective optimization; nature-inspired optimization; non-technical losses; optimization; Pakistan power system; partial shading; photovoltaic (PV); PI-PD controller; power system; PRECON; PSO; qualitative comparison; real estate; real time pricing; regional cities; regional policies; renewable energy; renewable energy sources; requirement engineering; requirement-gathering tool; requirement-management tools; smart cities; smart grid; smart grids; smart meters; software engineering; sustainability; sustainable cities; sustainable power generating system; sustainable society; total harmonic distortion (THD); transmission line security; urban sustainability; voltage source inverter (VSI); wind energy
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication

 This reprint covers the following topics in the field of smart grids: 1. Optimal dg location and sizing to minimize losses and improve the voltage profile using garra rufa optimization. 2. Solar and wind energy forecasting for the green and intelligent migration of traditional energy sources. 3. Optimized micro-grid's operation with electrical-vehicle-based hybridized sustainable algorithm. 4. The detection of nontechnical losses in smart meters using a MLP-GRU deep model and augmenting data via theft attacks. 5. A hybrid deep-learning-based model for the detection of electricity losses using big data in power systems. 6. Load frequency control and automatic voltage regulation in a multi-area interconnected power system using nature-inspired computation-based control methodology. 7. Line overload alleviations in wind energy integrated power systems using automatic generation control. 8. Electric price and load forecasting using a CNN-based ensembler in a smart grid. 9. Day-ahead energy forecasting in a smart grid considering the demand response and microgrids. 10. A dragonfly optimization algorithm for extracting the maximum power of grid-interfaced pv systems. 11. An economic load dispatch problem with multiple fuels and valve point effects using a hybrid genetic-artificial fish swarm algorithm. 12. Incentive-based dynamic pricing in a smart grid.