How to Use Bayesian Methods for Accurate Financial Forecasting

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
pv magazine International

New intraday solar forecast method focuses on cloud temporal variability

An international research group has developed a novel intraday probabilistic forecast method for surface solar radiation. The new methodology, dubbed SolarSTEPS, is reportedly the first probabilistic ...
Houston Chronicle

What Is Adaptive Forecasting?

Adaptive forecasting is a term used to describe several different methods of determining the likelihood of events occurring based on statistical data and variable analysis. These forecasting methods ...
Android Police

Google DeepMind's GenCast model is ready to upend traditional weather forecasts

Karandeep Singh Oberoi is a Durham College Journalism and Mass Media graduate who joined the Android Police team in April 2024, after serving as a full-time News Writer at Canadian publication ...
Destination CRM

The Challenge of B2B Sales Forecasting

B2B sales forecasting is challenging because most B2B companies lack the large sales volumes required for statistical forecasting techniques. As a consequence, those companies that care about their ...
Houston Chronicle

Sales Forecasting

What Is an E&O Reserve?. Excess and obsolete inventory is a supply chain management problem for manufacturers, distributors and retailers. Inventory represents a large investment for these... What Is ...