Abstract: Forecasted global horizontal irradiation (GHI) can help for designing, sizing and performances analysis of photovoltaic (PV) systems including water PV pumping systems used for irrigation ...

Forecasting inpatient mortality (IM) and discharges against medical advice (DAMA) provides essential insights for healthcare quality monitoring and hospital management. This study compared six ...

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...

PyAF is an Open Source Python library for Automatic Forecasting built on top of popular data science python modules: NumPy, SciPy, Pandas and scikit-learn. PyAF works as an automated process for ...

Accurate demand forecasting is essential to effective supply chain and operations planning. It influences key decisions around inventory levels, production schedules, and service performance. In this ...

Given the complexity and dynamic nature of short-term load sequence data, coupled with prevalent errors in traditional forecasting methods, this study introduces a novel approach for short-term load ...

Forecasting is the art and science of predicting future events. It is a critical tool for businesses, allowing them to make informed decisions across various domains, including supply chain management ...

ABSTRACT: Gender balance is a key part of the Australian identity, for creating diverse workplaces and fostering social cohesion throughout Australia. This study aims to provide a comprehensive ...

Abstract: The cost of renewable power price is coming down with increased modest methods in the electricity market. When it is to benefit both the producers and consumers of electricity, a next-day ...

The penetration of photovoltaic (PV) power into modern power systems brings enormous economic and environmental benefits due to its cleanness and inexhaustibility. Therefore, accurate PV power ...