Relative evaluation of regression tools for urban area electrical energy demand forecasting
Load forecasting is the most fundamental application in Smart-Grid, which provides
essential input to Demand Response, Topology Optimization and Abnormally Detection …
essential input to Demand Response, Topology Optimization and Abnormally Detection …
A YSZ-based mixed potential sensor achieving fast detection and complete recovery to SO2 through combining a high-temperature pulse and Pd catalyst in sensing …
Q Lu, R Han, T Wang, B Wang, X Liang, F Liu… - Sensors and Actuators B …, 2023 - Elsevier
Detection and prevention of some hazardous gas pollutants has always been a challenging
problem. SO 2, as a typical toxic and dangerous gas, is extremely difficult to be monitored …
problem. SO 2, as a typical toxic and dangerous gas, is extremely difficult to be monitored …
Machine learning applications for load predictions in electrical energy network
NJ Johannesen - 2022 - uia.brage.unit.no
In this work collected operational data of typical urban and rural energy network are
analysed for predictions of energy consumption, as well as for selected region of Nordpool …
analysed for predictions of energy consumption, as well as for selected region of Nordpool …