IoT—A Promising Solution to Energy Management in Smart Buildings: A Systematic Review, Applications, Barriers, and Future Scope

Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3446 - 3446

Published: Oct. 29, 2024

The use of Internet Things (IoT) technology is crucial for improving energy efficiency in smart buildings, which could minimize global consumption and greenhouse gas emissions. IoT applications numerous sensors to integrate diverse building systems, facilitating intelligent operations, real-time monitoring, data-informed decision-making. This critical analysis the features adoption frameworks buildings carefully investigates various that enhance management, operational efficiency, occupant comfort. Research indicates may decrease by as much 30% operating expenses 20%. paper provides a comprehensive review significant obstacles including substantial initial expenditures (averaging 15% project budgets), data security issues, complexity system integration. Recommendations are offered tackle these difficulties, emphasizing need established processes improved coordination across stakeholders. insights provided seek influence future research initiatives direct academic community construction engineering management about appropriate buildings. study resource academics practitioners aiming development implementation solutions sector.

Language: Английский

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Digital Technology and AI for Smart Sustainable Cities in the Global South: A Critical Review of Literature and Case Studies

Urban Science, Journal Year: 2025, Volume and Issue: 9(3), P. 72 - 72

Published: March 5, 2025

Many countries across the Global South strive to align their urban development with sustainability goals. Consequently, notion of smart sustainable cities has emerged, integrating ideas and sustainability. The region faces diverse challenges, including rapid population growth financial constraints. Infrastructural deficiencies, especially in digital infrastructure AI adoption, add these challenges. Therefore, exploring technologies is essential for developing smart, South. This paper examined both potential barriers AI. It also explored policy implications proposes a framework cities. A qualitative methodological approach used, systematic literature review case studies. study demonstrates how various challenges can be addressed AI, alongside adoption. conceptual three key pillars: adopting as pivotal element, overcoming barriers, identifying application areas transform into Moreover, discusses suggests future directions research.

Language: Английский

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Big Data and Predictive Analytics for Indonesia's Economic Transformation and Digital Resilience

Deleted Journal, Journal Year: 2025, Volume and Issue: 2(2), P. 22 - 22

Published: Feb. 25, 2025

In an era defined by data, Big Data and Predictive Analytics have become indispensable tools for driving economic growth, innovation, resilience. For Indonesia, one of Southeast Asia’s most dynamic digital economies, these technologies offer a transformative pathway to industrial modernization global competitiveness. With over 212 million internet users economy projected hit $146 billion 2025, Indonesia is poised harness the power data revolutionize sectors such as finance, healthcare, e-commerce, manufacturing (Antara News, 2022). This study delves into multifaceted landscape in offering comprehensive analysis its potential implementation challenges. It highlights how predictive analytics reshaping industries, enabling businesses optimize supply chains, enhance customer experiences, mitigate risks with unprecedented precision. At same time, it addresses pressing concerns privacy, cybersecurity vulnerabilities, ethical implications AI-driven decision-making. To unlock full Data, this proposes actionable policy recommendations, including investments infrastructure, development AI frameworks, expansion STEM education workforce training programs. can create long-term ecosystem that balances innovation responsibility encouraging collaboration among government, industry, academics. As stands at crossroads Fourth Industrial Revolution, strategic integration no longer optional—it imperative. serves roadmap ensuring drive not only growth but also inclusive resilience increasingly data-driven world.

Language: Английский

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Application of 5G Technologies in Tourism Mobile Strategies

Tourism on the verge, Journal Year: 2025, Volume and Issue: unknown, P. 223 - 242

Published: Jan. 1, 2025

Language: Английский

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A Novel Hybrid Machine Learning-IoT Framework for Optimizing Solar Energy Efficiency in Arid Regions: A Case Study of Sub-Saharan Africa

Published: May 15, 2025

The efficient harnessing of solar energy in arid regions is critical for closing the electricity access gap Sub- Saharan Africa, yet installations routinely underperform due to soiling, extreme temperatures, and lack adaptive control. We introduce a novel hybrid Machine Learning–IoT framework that unifies real-time environmental electrical sensing, deep-learning prediction power output fault risk, reinforcement-learning–based adjustment panel tilt maintenance scheduling. cast as constrained optimization problem balancing yield, cost, reliability, employs multi-stage ML pipeline—combining LSTM XGBoost generation forecasting CNN-based classifier anomaly detection—together with Deep Q-Network controller. validate our approach via year-long simulation 100 kW off-grid PV array Northern Kenya. Compared fixed- tilt, quarterly-cleaning baseline, method achieves 20.8 % increase annual 35.5 reduction downtime, while respecting practical bounds on angles service frequency maintaining fault-risk below prescribed threshold. These results demonstrate end-to-end integration IoT machine learning, optimal control can substantially enhance performance, cost-effectiveness, reliability deployments harsh, resource-constrained environments.

Language: Английский

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Energy management in smart distribution networks: Synergizing network reconfiguration, energy storage, and electric vehicles with disjunctive convex hull relaxation

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 5999 - 6015

Published: Dec. 1, 2024

Language: Английский

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