A new ensemble spatio-temporal PM2. 5 prediction method based on graph attention recursive networks and reinforcement learning
Inhalable particulate matter with a diameter of less than 2.5 μm spatio-temporal prediction
technology is an important tool for environmental governance in urban traffic congestion …
technology is an important tool for environmental governance in urban traffic congestion …
Fuzzy-Based Fifteen-Level VSC for STATCOM Operations with Single DC-Link Voltage
L Gadupudi, GS Rao, RVL Narayana Divakar, H Malik… - Sustainability, 2023 - mdpi.com
A static synchronous compensator (STATCOM) is a powerful mechanism for balancing
reactive power and uplift voltage stability in a transmission system. Nowadays, the desire to …
reactive power and uplift voltage stability in a transmission system. Nowadays, the desire to …
Machine learning, advances in computing, renewable energy and communication (MARC)
Abstract Machine learning (ML) is the subcategory of artificial intelligence (AI), which has the
capability to imitate human behavior intelligently as per the task performed by the human. In …
capability to imitate human behavior intelligently as per the task performed by the human. In …
Data resource library for renewable energy prediction/forecasting
The objective of this chapter is to develop a data resource library for renewable energy
forecasting/prediction using the whole world's available dataset of the solar and wind …
forecasting/prediction using the whole world's available dataset of the solar and wind …
Renewable Power for Sustainable Growth
Nowadays, the globe faces an urgent need to switch to sustainable and renewable sources
of energy due to the rising concern over climate change and the finite supply of fossil fuels …
of energy due to the rising concern over climate change and the finite supply of fossil fuels …
Data Resource Library for Renewable Energy Prediction/Forecasting Check for updates
The objective of this chapter is to develop a data resource library for renewable energy
forecasting/prediction using the whole world's available dataset of the solar and wind …
forecasting/prediction using the whole world's available dataset of the solar and wind …
Fuzzy Logic-Based Range-Free Localization in WSN
J Chadha, A Jain - … Learning, Advances in Computing, Renewable Energy …, 2022 - Springer
Received signal strength (RSS)-based location estimation is one of the most acceptable
methods for localization in wireless sensor networks. However, am imperfection in the value …
methods for localization in wireless sensor networks. However, am imperfection in the value …