RAQ–A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems
Air quality information such as the concentration of PM2.5 is of great significance for human health and city management. It affects the way of traveling, urban planning, government policies and so on.
Ruiyun Yu +4 more
semanticscholar +1 more source
A Machine Learning Approach to Climate‐Based Building Energy Consumption
Impact of climatic parameters on building energy consumption. Analysis of three Iranian cities using ML models. ABSTRACT This study proposes a data‐driven framework to assess the impact of climatic parameters on building energy consumption across three diverse Iranian cities: Tehran (semi‐arid), Bandar Abbas (hot‐humid), and Rasht (humid‐moderate ...
Ali Maboudi Reveshti +3 more
wiley +1 more source
Meteorology and Cimatology: On-Line Weather Studies [PDF]
Through the Virginia Earth Science Collaborative (VESC), a partnership of nine institutes of higher education, non-profit organizations, and eighty-three school divisions, a 3-credit, graduate-level meteorology course was offered six times between Spring
Bentley, M., Mulvany, J. A., Pyle, E.
core +1 more source
A validated methodology for the prediction of heating and cooling energy demand for buildings within the Urban Heat Island: Case-study of London [PDF]
This is the post-print version of the final paper published in Solar Energy. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and ...
Anna Mavrogianni +22 more
core +1 more source
Many statistical downscaling methods require observational inputs and expert knowledge and thus cannot be generalized well across different regions. Convolutional neural networks (CNNs) are deep-learning models that have generalization abilities for ...
Yingkai Sha +3 more
semanticscholar +1 more source
An Innovative AI‐Driven Algorithm for Efficient and Precise Distribution System Planning
ABSTRACT This paper presents GRATE–DRL–AI, an Artificial Intelligence (AI)–driven algorithm designed to enhance the efficiency and accuracy of distribution system planning. Leveraging advanced AI methodologies, including graph learning, transfer learning, deep reinforcement learning (DRL), and physics‐guided neural networks, this model efficiently ...
Harshit Singh +3 more
wiley +1 more source
Training and Research Under the Typhoon Committee
: The ESCAP/WMO Typhoon Committee Training and Research Coordination Group (TRCG), formerly known as the Typhoon Research Coordination Group, has served Members of the Typhoon Committee for more than 20 years. As evident from the change of its name, TRCG
Tsz-Cheung Lee, Edwin S.T. Lai
doaj +1 more source
Low‐Carbon Agricultural Strategies: Toward Environmental Protection and Energy Efficiency
Integration of agricultural engineering with renewable energy innovations. Sustainable irrigation and mechanization enhance resource‐use efficiency. Circular bioeconomy strategies mitigate emissions and improve soil health. Biocher and biostimulants strengthen resilience in sustainable agriculture.
Ravikumar Jayabal +2 more
wiley +1 more source
The Error is the Feature: how to Forecast Lightning using a Model Prediction Error
Despite the progress within the last decades, weather forecasting is still a challenging and computationally expensive task. Current satellite-based approaches to predict thunderstorms are usually based on the analysis of the observed brightness ...
Andersson T. +7 more
core +1 more source
State‐of‐Art in Studying the Public Health Effects of Heat: A Literature Review
This review aims to consolidate current knowledge about the public health impact of heat. Pathophysiological mechanisms are well‐known, but an ‘environmental epidemiology’ perspective is essential to drive adaptation strategies. Abstract The impact of heat and heatwaves on human health constitutes a significant hazard, disproportionately affecting ...
Lorenzo Gianquintieri +1 more
wiley +1 more source

