Modeling the Efficiency of Resource Consumption Management in Construction Under Sustainability Policy: Enriching the DSEM-ARIMA Model

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10945 - 10945

Published: Dec. 13, 2024

The aim of this research is to study the influence factors affecting efficiency resource consumption under sustainability policy based on using DSEM-ARIMA (Dyadic Structural Equation Modeling Autoregressive Integrated Moving Average) model. performed Thailand experience. findings indicate that continuous economic growth aligns with country’s objectives, directly contributing social growth. This efficient planning. It demonstrates management goal achieving 5.0. Furthermore, considering environmental aspect, it found and impacts ecological aspect due significant in construction. construction shows a rate increase 264.59% (2043/2024), reaching 401.05 ktoe (2043), which exceeds carrying capacity limit set at 250.25 ktoe, resulting long-term degradation. Additionally, political have greatest environment, exacerbating damage beyond current levels. Therefore, model establishes new scenario policy, indicating leads degradation reduced 215.45 does not exceed capacity. Thus, if utilized, can serve as vital tool formulating policies steer toward 5.0 effectively.

Language: Английский

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Distributed Peer-to-Peer Optimization Based on Robust Reinforcement Learning with Demand Response: A Review

Computers, Journal Year: 2025, Volume and Issue: 14(2), P. 65 - 65

Published: Feb. 13, 2025

The increasing adoption of renewable energy resources and the growing need for efficient adaptable management have emphasized importance innovative solutions sharing storage. This study aims to analyze application advanced optimization techniques in decentralized systems, focusing on strategies that improve distribution, adaptability, reliability. research employs a comprehensive review methodology, examining reinforcement learning approaches, demand response mechanisms, integration battery storage systems enhance flexibility scalability P2P markets. main findings highlight significant advancements robust decision-making frameworks, real-time trading. Additionally, this identifies key technical regulatory challenges, such as computational complexity, market uncertainty, lack standardized legal while proposing pathways address them through intelligent collaborative solutions. originality work lies its structured analysis emerging trading models, providing valuable insights into future design are efficient, sustainable, resilient.

Language: Английский

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Integrated local energy market-based optimization framework for multi-energy microgrid considering power grid AC constraints and usage price

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103804 - 103804

Published: Dec. 1, 2024

Language: Английский

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Dynamic analysis on decision-making behavior in energy market with renewable energy generation considering the bounded rationality

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 241, P. 111306 - 111306

Published: Dec. 7, 2024

Language: Английский

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