Power Technology

Redefining load forecasting and management: how AI is making smart grids smarter

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.
IEEE

Time Series and Machine Learning Methods for Short-Term Load Forecasting in Modern Power Systems

Abstract: Accurate load forecasting is crucial for modern power systems but faces challenges like data scarcity, tool limitations, and lack of institutional support. Inaccurate forecasts lead to ...
IEEE

Comparative Analysis of Machine Learning and Traditional Forecasting Methods in Bitcoin Price Prediction

Abstract: In an era where digital currencies are becoming increasingly prevalent, accurately predicting the price fluctuations of cryptocurrencies like Bitcoin is crucial for investors and analysts ...
GitHub

littlemedusa/Time-Series-Work-Conference

ICLR 2022 https://openreview.net/group?id=ICLR.cc/2022/Conference Oct 06 '21 Jan 24 '22 ICLR 2021 https://openreview.net/group?id=ICLR.cc/2021/Conference ICLR 2020 ...