RENEWCONNECT - All about renewables & power sector

Research on air pollution spans a wide range of disciplines, focusing on understanding the sources, effects, and solutions to this global problem. Here are some of the key areas of research being conducted on air pollution: 1. Source Identification and Attribution Emission Inventories: Developing detailed inventories of air pollution sources, such as vehicles, industrial plants, agricultural activities, and natural sources like wildfires and dust storms. Source Apportionment Studies: Identifying the contribution of different pollution sources (e.g., traffic, industry, domestic) to overall air pollution levels in specific regions. Satellite Monitoring: Using satellite data to track pollution plumes, identify hotspots, and monitor transboundary pollution movement. 2. Health Impact Studies Epidemiological Studies: Investigating the short-term and long-term health impacts of air pollution exposure, including respiratory, cardiovascular, and neurological effects. Vulnerable Populations:

Forecasting: The process of calculating and predicting future events, usually based on extrapolation from the past experience and with varying degrees of uncertainty. Forecasting is an integral part of business decision processes. The energy industry relies on forecasters to forecast load, generation and prices, etc. These forecasts are being used by all segments of the energy industry for planning and operations of both power systems and business entities.  Some of the key topics related to renewable energy (RE) forecasting are as below: 1. Machine Learning Techniques for Renewable Energy Forecasting: Exploring how AI and machine learning algorithms improve the accuracy of renewable energy predictions. 2. Weather Radar Technology for Wind Energy Forecasting: Discussing the use of weather radar data to enhance wind energy forecasting models. 3. Blockchain Applications in Renewable Energy Forecasting: Exploring how blockchain technology can improve transparency and efficiency in RE fore