Review of artificial intelligence-based failure detection and diagnosis methods for solar photovoltaic systems
In recent years, the overwhelming growth of solar photovoltaics (PV) energy generation as
an alternative to conventional fossil fuel generation has encouraged the search for efficient …
an alternative to conventional fossil fuel generation has encouraged the search for efficient …
Challenges in smartizing operational management of functionally-smart inverters for distributed energy resources: A review on machine learning aspects
Y Fujimoto, A Kaneko, Y Iino, H Ishii, Y Hayashi - Energies, 2023 - mdpi.com
The widespread introduction of functionally-smart inverters will be an indispensable factor
for the large-scale penetration of distributed energy resources (DERs) via the power system …
for the large-scale penetration of distributed energy resources (DERs) via the power system …
Configuration optimization of an off-grid multi-energy microgrid based on modified NSGA-II and order relation-TODIM considering uncertainties of renewable energy …
Z Lu, Y Gao, C Xu, Y Li - Journal of Cleaner Production, 2023 - Elsevier
This study develops a two-stage hybrid decision framework to configure an off-grid multi-
energy microgrid (MEMG) while considering uncertainties in renewable energy resources …
energy microgrid (MEMG) while considering uncertainties in renewable energy resources …
[HTML][HTML] Coordinated voltage regulation of high renewable-penetrated distribution networks: An evolutionary curriculum-based deep reinforcement learning approach
With the increasing penetration of renewable energy in active distribution networks (ADNs),
voltage regulation problem is becoming more and more challenging. In this article, we focus …
voltage regulation problem is becoming more and more challenging. In this article, we focus …
Technical and economic feasibility assessment for a solar PV mini-grid for Matekenya village
P Maliro, B Diarra, R Samikannu - Cogent Engineering, 2022 - Taylor & Francis
Malawi is one of the sub-Saharan African countries with a low electrification rate. Its
electrification rate is at 18% which is far below Africa's average electrification rate which is …
electrification rate is at 18% which is far below Africa's average electrification rate which is …
[HTML][HTML] Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm
The massive integration of renewable-based distributed energy resources (DERs) inherently
increases the energy system's complexity, especially when it comes to defining its …
increases the energy system's complexity, especially when it comes to defining its …
[HTML][HTML] Community energy storage operation via reinforcement learning with eligibility traces
The operation of a community energy storage system (CESS) is challenging due to the
volatility of photovoltaic distributed generation, electricity consumption, and energy prices …
volatility of photovoltaic distributed generation, electricity consumption, and energy prices …
[HTML][HTML] Multi-agent deep reinforcement learning-based optimal energy management for grid-connected multiple energy carrier microgrids
Multi-agent deep reinforcement learning (MA-DRL) method provides a groundbreaking
approach to tackling computational problems in power systems, particularly for distributed …
approach to tackling computational problems in power systems, particularly for distributed …
[HTML][HTML] RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks
Abstract Deep Reinforcement Learning (DRL) presents a promising avenue for optimizing
Energy Storage Systems (ESSs) dispatch in distribution networks. This paper introduces RL …
Energy Storage Systems (ESSs) dispatch in distribution networks. This paper introduces RL …
A mix-integer programming based deep reinforcement learning framework for optimal dispatch of energy storage system in distribution networks
The optimal dispatch of energy storage systems (ESSs) in distribution networks poses
significant challenges, primarily due to uncertainties of dynamic pricing, fluctuating demand …
significant challenges, primarily due to uncertainties of dynamic pricing, fluctuating demand …