Results 221 to 230 of about 637,508 (302)

Appraising Policies Through Social Multi‐Criteria Evaluation: Lessons From a Systematic Review of Applications

European Policy Analysis, EarlyView.
ABSTRACT In response to renewed interest in analytical tools that address complex policy problems and move beyond linear‐rational approaches in policy appraisal, Social Multi‐Criteria Evaluation (SMCE) integrates participatory approaches with multi‐criteria analysis (MCA), thereby incorporating specialised knowledge and diverse social values and ...
Egle Basyte Ferrari
wiley   +1 more source

An Efficient Convolutional Denoising Autoencoder-Based BDS NLOS Detection Method in Urban Forest Environments. [PDF]

Sensors (Basel)
Qin Y, Li Z, Xie S, Zhao H, Wang Q.
europepmc   +1 more source

Research on Restorative Environment Characteristics through Urban Forest User Experience Focusing on Big Data of Dobongsan Mountain in Seoul, Korea

, 2023
Chae J, Park J, Kim S.
europepmc   +1 more source

Comprehensive Feasibility Study of Solar Power Plants

Energy Science &Engineering, EarlyView.
ABSTRACT The global transition to solar energy is frequently impeded by high project failure rates, largely due to feasibility assessments that emphasize geographic and economic aspects while overlooking critical technical, environmental, and socio‐administrative dimensions.
Seyyed Mohammad Hadi Mohammadi, Saeed Safari, Reza Abbasi   +2 more
wiley   +1 more source

Retracted: Quantifying the Soil Arthropod Diversity in Urban Forest in Dera Ghazi Khan. [PDF]

Biomed Res Int
International BR.
europepmc   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Integrating Remote Sensing and Machine Learning for Enhanced Surface Urban Heat Island Analysis and Its Impact on Building Energy Demand

Energy Science &Engineering, EarlyView.
Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley   +1 more source

Long-term effects of a tornado: Impacts on woody native vegetation and invasive Amur honeysuckle (Lonicera maackii) in an urban forest. [PDF]

Ecol Evol
Culley TM, Bécus MS, Cameron GN.
europepmc   +1 more source

The Impact of Carbon Pricing Mechanisms on Regional Power Sector Emissions: Evidence From Guangdong, China

Energy Science &Engineering, EarlyView.
ABSTRACT This study investigates low‐carbon transition pathways and carbon neutrality planning in Guangdong Province, China's largest energy consumer. Using integrated regression analysis, electricity demand is projected to increase from 850 TWh in 2023 to 1580 TWh by 2060.
Caixia Yang, Yao Xiao, Tao Chen, Erqun Zhao, Mingze Lei, Supannika Wattana, Buncha Wattana   +6 more
wiley   +1 more source