Short-Term Electricity Consumption Forecasting: Time-Series Approaches
The power system is becoming smarter and more flexible as science and technology
improve, and the way people use electrical power in their everyday lives is changing. The …
improve, and the way people use electrical power in their everyday lives is changing. The …
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting
Accurate load forecasting is critical for efficient and reliable operations of the electric power
system. A large part of electricity consumption is affected by weather conditions, making …
system. A large part of electricity consumption is affected by weather conditions, making …
Artificial Intelligence (AI) for Agricultural Sector
K Mridha, SMA Hasan - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
We have seen the intensive production of artificial information in the field of agriculture over
the past two decades. The transformation from the use of simpler machine learning to the …
the past two decades. The transformation from the use of simpler machine learning to the …
State-Level Electrical Energy Demand Projection Using District-Wise Climate Data for a Growing Economy
M Ray, SK Kochunni, J Swaminathan - Available at SSRN 4594861 - papers.ssrn.com
Future electricity demand of the state of Gujarat in India is projected under different SSP
scenarios based on data available at different spatio-temporal resolutions. The calculated …
scenarios based on data available at different spatio-temporal resolutions. The calculated …