Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
GlobalData on MSN

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.
Investopedia

Agreed Amount Clause: Definition, Function, and Real-World Example

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Eric's career includes extensive work in both public and corporate accounting with ...
Investopedia

Guide to Weather Insurance: Functions, Benefits, and Examples

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Andy Smith is a Certified Financial ...
Psychology Today

What Is Memory?

Memory is the faculty by which the brain encodes, stores, and retrieves information. It is a record of experience that guides future action. Memory encompasses the facts and experiential details that ...
IEEE

Transfer Reinforcement Learning Controller using Gaussian Reward Function for DC-DC Switching Converters with Constant Power Load

Abstract: This paper presents a model-free neural network controller design methodology based on transfer reinforcement learning (TRL) with Gaussian reward shaping, implemented and validated on a Buck ...
IEEE

Enhancing the Electrical Load Forecasting Efficacy for V2G Scheduling by Using LSTM Model and a Specific Loss Function

Abstract: As the number of electric vehicles (EVs) increases, vehicle-to-grid (V2G) technology is widely adopted to help the power system manage the additional charging load. To minimize load variance ...