Results 111 to 120 of about 19,796 (256)

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

Urban forestry for cooler cities faces three critical hurdles. [PDF]

Nat Commun
Croeser T, Rahman MA, Ghosh AK.
europepmc   +1 more source

Uneven Impacts of Seawall Heightening on Tsunami Risk Reduction under Rising Sea Levels: Probabilistic Scenarios from the Japan Trench

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Disasters exacerbated by climate change have prompted adaptation measures, including seawall heightening, which is an effective approach to protecting coastal areas. However, the combined effect of rising sea levels and tsunamis can create a compound coastal hazard, in which long‐term sea level rise amplifies the impact of tsunamis.
Yushi Miki, Anawat Suppasri, Constance Ting Chua, An‐Chi Cheng, Tomoya Iwasaki, Yugo Shinozuka, Takafumi Ogawa, Fumihiko Imamura   +7 more
wiley   +1 more source

The best laid plans: How do adopted city sustainability goals influence site-level action in urban forestry? [PDF]

Ambio
Bassett CG, Day SD, Konijnendijk CC, Roman LA, Yee CK, Chan KMA.   +5 more
europepmc   +1 more source

Technoeconomic Assessment of Wind Power Potential in the Vicinity of GolGohar Sirjan Mining and Industrial Company

Energy Science &Engineering, EarlyView.
Graphical abstract of wind energy study in the Vicinity of GolGohar Sirjan Mining and Industrial Company. ABSTRACT Wind energy is a central pillar of sustainable energy transition; however, its feasibility strongly depends on site‐specific wind regimes and economic conditions.
Hossein Amiri
wiley   +1 more source

Urban forestry practices to improve heat-related human health: exploring the practicalities and concerns with U.S. urban tree professionals. [PDF]

Urban For Urban Green
Keenan OJ, Young AR, Kouklis G, Brown S, Green AR, Katz DSW, Miller DL, Li Q, Xi W, Lo F, Young SR, Ghosh AK.   +11 more
europepmc   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source