Tech Xplore

Turning city traffic into a computer: Novel approach to AI could slash energy demands

What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...
Frontiers

Smart meter-based demand forecasting for energy management using supercapacitors

The smart grid paradigm has introduced new capabilities for monitoring and managing intelligent energy systems. In this context, IoT environments integrate smart sensors and devices to record ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
IEEE

Accurate Residential Net Load Forecasting With Hybrid Statistical and Machine Learning Techniques Enhanced by Advanced Decomposition Method

Abstract: The increased use of renewable energy (RE) in residential settings is driving the demand for smart energy management systems (EMS) to optimally coordinate the purchasing and selling of power ...
IEEE

Novel Predictive Factors to Boost Short-Term Electricity Demand Forecasting Using Machine Learning Models

Abstract: Accurate Short-Term Load Forecasting (STLF) is essential for effective operational planning, particularly for optimizing maintenance schedules, managing power generation capacity, and ...
Scientific Research Publishing

A Performance Evaluation of Machine Learning Models for Solar PV Power Forecasting in Bamenda, Cameroon ()

1 Department of Electrical/Electronic Engineering, NAHPI, University of Bamenda, Bamenda, Cameroon. 2 Electrical Engineering, Mechatronics, and Signal Processing Laboratory, ENSPY, UY-I, Yaounde, ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...