This paper plans to develop an effective machine learning system integrated with the
Internet of Things (IoT) to predict the health insurance amount. IoT in healthcare enables …

Energy efficiency is critical for meeting global energy and climate targets, requiring however
significant investments. Due to the lack of mature decision-support systems and the …

In finance and management, insurance is a product that tends to reduce or eliminate in
totality or partially the loss caused due to different risks. Various factors affect house …

This work addresses recent developments for solving problems in process systems
engineering based on machine learning algorithms. A general description of most popular …

Over the past decade, renewable energy resources, such as wind, solar, biomass, ocean
energy and other kinds of energy, are becoming attractive technologies for building green …

With an increase in integration of Solar energy in grid due to their environmental benefit, the
need for correct prediction of solar irradiance becomes important. This paper aims towards …

The subject of this work is the analysis of methods of detecting soiling of photovoltaic panels.
Environmental and weather conditions affect the efficiency of renewable energy sources …

Solar power grid integration has increased tremendously in the global electricity market.
However, further increase in solar power grid integration has been restricted by the …

Aiming at the problem that the traditional photovoltaic power generation prediction model
cannot fully mine the effective information contained in photovoltaic data, which leads to the …

Dalam penelitian ini, akan diuraikan pemodelan karakteristik produksi energi Pembangkit
Listrik Tenaga Surya (PLTS) 1000 Watt peak (Wp) dalam periode Juni 2020-Desember …