Complex Real-Time Monitoring and Decision-Making Assistance System Based on Hybrid Forecasting Module and Social Network Analysis DOI Creative Commons

Henghao Fan,

Hongmin Li, Xiaoyang Gu

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(2), P. 39 - 39

Published: Jan. 24, 2024

Timely short-term spatial air quality forecasting is essential for monitoring and prevention in urban agglomerations, providing a new perspective on joint pollution prevention. However, single model or correlation analysis insufficient to meet the strong demand. Thus, this paper proposed complex real-time decision-making assistance system, using hybrid module social network analysis. Firstly, before an accurate was constructed, text sentiment strategy based multiple feature selection methods result fusion were introduced data preprocessing. Subsequently, CNN-D-LSTM improve capture ability make more accurate. Then, utilized explore transporting characteristics, which could provide solutions control agglomerations. For experiment simulation, two comparative experiments constructed individual models city cluster forecasting, mean absolute error decreases 7.8692 Pearson coefficient 0.9816. overall related demonstrated that with appropriate division, be improved nearly 0.99.

Language: Английский

Optimal energy harvesting plans in water distribution networks considering the stakeholders’ utilities DOI Creative Commons
Milad Latifi, Ramiz Beig Zali, Reza Kerachian

et al.

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 54, P. 101437 - 101437

Published: June 3, 2024

This paper delves into identifying the optimal scenario for implementation of micro-turbines, specifically Pump-as-Turbines (PaTs), in a water distribution network (WDN) by achieving highest consensus among involved stakeholders. Utilising simulations-optimisation model, best location, type, and operation hours micro-turbines were selected within case study WDN. The objective was to maximise generated energy, while maintaining standard hydraulic conditions A total 84 scenarios developed, considering number installed turbines, allocation pricing schemes. explore possibilities allocating electricity company, national grid, cryptocurrency mining, or electric car charging. Evaluation involves 36 criteria, identifies 18 stakeholders energy management study. Stakeholder utility with respect criteria determined through interviews, weights each stakeholder assigned based on previous studies. computed matrix, ranked accordingly, revealing that involving generation five turbines sold grid at twice current price garnered support.

Language: Английский

Citations

3
An Index Model for the Evaluation of the Performance of Lock Navigation Scheduling Rules Considering the Perspective of Stakeholders DOI Open Access
Rong Li, Qing Liu, Lei Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 2054 - 2054

Published: March 1, 2024

The lock navigation scheduling problem involves multiple stakeholder groups. game relationship between stakeholders directly affects the sustainable development of regional society and economy. Considering objectivity accuracy social network analysis (SNA) for identification, indicator screening, system construction, it completes extraction evaluation index construction. that conditional probability nodes in Bayesian networks (BN) can flexibly intuitively characterize direction strength factors’ roles a complex scenario, this study proposes an model performance rules. Firstly, build BN topology under efficiency, safety, fairness criteria. Subsequently, improved composite method is combined with to determine from perspective. This takes Three Gorges locks maintenance scenario as example. accurately identify direction, trend, magnitude rules on criteria navigational constraints, realizing dynamic quantitative during observation period.

Language: Английский

Citations

1
Optimisation of Small Hydropower Units in Water Distribution Systems by Demand Forecasting DOI Open Access
Martin Oberascher,

Lukas Schartner,

Robert Sitzenfrei

et al.

Water, Journal Year: 2023, Volume and Issue: 15(22), P. 3998 - 3998

Published: Nov. 17, 2023

The potential of water supply systems for renewable electrical energy production is frequently utilised by a small-scale hydropower unit (SHPU) that utilises the surplus or pressure. However, fluctuating demand on an hourly and daily basis represents significant challenge in operating such devices. To address this issue, control strategy based forecast implemented, adjusting SHPU’s inflow current conditions. Thus, individual days are categorised into categories with similar flow conditions, optimised each category using simplified evolutionary optimisation technique. Coupled forecasts, SHPU controller evaluates which set levels to utilise next day optimise production. This approach implemented alpine municipality, its economic feasibility evaluated through long-term simulation over 10 years. resulted annual profit increase compared reference status well-informed expert knowledge. it worth noting has limited suitability further improvements within case study. Nonetheless, SHPUs also contribute improving quality and, if generated directly used operate supply, enhance resilience grid failures.

Language: Английский

Citations

1
Complex Real-Time Monitoring and Decision-Making Assistance System Based on Hybrid Forecasting Module and Social Network Analysis DOI Creative Commons

Henghao Fan,

Hongmin Li, Xiaoyang Gu

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(2), P. 39 - 39

Published: Jan. 24, 2024

Timely short-term spatial air quality forecasting is essential for monitoring and prevention in urban agglomerations, providing a new perspective on joint pollution prevention. However, single model or correlation analysis insufficient to meet the strong demand. Thus, this paper proposed complex real-time decision-making assistance system, using hybrid module social network analysis. Firstly, before an accurate was constructed, text sentiment strategy based multiple feature selection methods result fusion were introduced data preprocessing. Subsequently, CNN-D-LSTM improve capture ability make more accurate. Then, utilized explore transporting characteristics, which could provide solutions control agglomerations. For experiment simulation, two comparative experiments constructed individual models city cluster forecasting, mean absolute error decreases 7.8692 Pearson coefficient 0.9816. overall related demonstrated that with appropriate division, be improved nearly 0.99.

Language: Английский

Citations

0