[HTML][HTML] Trends and gaps in photovoltaic power forecasting with machine learning

A Alcañiz, D Grzebyk, H Ziar, O Isabella - Energy Reports, 2023 - Elsevier
The share of solar energy in the electricity mix increases year after year. Knowing the
production of photovoltaic (PV) power at each instant of time is crucial for its integration into …

Energy harvesting techniques for internet of things (IoT)

T Sanislav, GD Mois, S Zeadally, SC Folea - IEEE access, 2021 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) has accelerated strong interests in the
development of low-power wireless sensors. Today, wireless sensors are integrated within …

Artificial intelligence implication on energy sustainability in Internet of Things: A survey

N Charef, AB Mnaouer, M Aloqaily, O Bouachir… - Information Processing …, 2023 - Elsevier
The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …

Autonomous IoT device management systems: Structured review and generalized cognitive model

AE Braten, FA Kraemer, D Palma - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Research on autonomous management for large-scale deployments of constrained devices
is still a maturing field in the Internet of Things (IoT). Although much research has been …

Application of temporal fusion transformer for day-ahead PV power forecasting

M López Santos, X García-Santiago… - Energies, 2022 - mdpi.com
The energy generated by a solar photovoltaic (PV) system depends on uncontrollable
factors, including weather conditions and solar irradiation, which leads to uncertainty in the …

Weighted fully-connected regression networks for one-day-ahead hourly photovoltaic power forecasting

L Yin, X Cao, D Liu - Applied Energy, 2023 - Elsevier
Accurate photovoltaic power forecasting can provide a basis for low-carbon economic
dispatch of power systems with a high proportion of renewable energy. Regression networks …

Does Heat Play a Role in the Observed Behavior of Aqueous Photobatteries?

A Pujari, BM Kim, FN Sayed, K Sanders… - ACS Energy …, 2023 - ACS Publications
Light-rechargeable photobatteries have emerged as an elegant solution to address the
intermittency of solar irradiation by harvesting and storing solar energy directly through a …

Assessment of solar radiation resource from the NASA-POWER reanalysis products for tropical climates in Ghana towards clean energy application

AD Quansah, F Dogbey, PJ Asilevi, P Boakye… - Scientific Reports, 2022 - nature.com
In order to expand the output of solar power systems for efficient integration into the national
grid, solar energy resource assessment at site is required. A major impediment however, is …

Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment

M Yu, F Xu, W Hu, J Sun, G Cervone - IEEE Access, 2021 - ieeexplore.ieee.org
The rising temperature is one of the key indicators of a warming climate, capable of causing
extensive stress to biological systems as well as built structures. Ambient temperature …

A reinforcement learning-based fire warning and suppression system using unmanned aerial vehicles

FH Panahi, FH Panahi, T Ohtsuki - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article discusses the use of unmanned aerial vehicles (UAVs) to detect, warn, and
suppress forest fires. The proposed system consists of: 1) an energy harvesting-assisted …