Systematic review on deep reinforcement learning-based energy management for different building types

A Shaqour, A Hagishima - Energies, 2022 - mdpi.com
Owing to the high energy demand of buildings, which accounted for 36% of the global share
in 2020, they are one of the core targets for energy-efficiency research and regulations …

Forecasting next-hour electricity demand in small-scale territories: Evidence from Jordan

S Nofal - Heliyon, 2023 - cell.com
In exceptional times of wars, natural crises (eg, snow storms), or hosting massive events (eg,
international sports events), prior knowledge of hour-by-hour electricity demand might …

Technical, Economic, and Environmental Investigation of Pumped Hydroelectric Energy Storage Integrated with Photovoltaic Systems in Jordan

B Hammad, S Al-Dahidi, Y Aldahouk, D Majrouh… - Sustainability, 2024 - mdpi.com
In this study, the technical and economic feasibility of employing pumped hydroelectric
energy storage (PHES) systems at potential locations in Jordan is investigated. In each …

Demand Elasticity Estimation from the Japanese National Electricity Grid Considering Wholesale Market Price

MS Suliman, H Farzaneh - 2022 - catalog.lib.kyushu-u.ac.jp
Estimating the electricity demand elasticity is the fundamental step in designing an efficient
demand response program, which includes sophisticated mathematical optimization from …

Heap Based Optimization with Deep Learning Based Energy Forecasting in Smart Grid with Consideration of Demand Response

Z abed Almoussawi, BM Khaleel… - … Technology and its …, 2023 - ieeexplore.ieee.org
In smart grid, energy management will be an essential one to reduce energy costs of users
while maximizing the comfort of users and lessening the peak to-average ratio and carbon …

Analyzing the Impacts of a Deep-Learning Based Day-Ahead Residential Demand Response Model on The Jordanian Power Sector in Winter Season

A Shaqour, H Farzaneh - 2021 - catalog.lib.kyushu-u.ac.jp
In this paper, a detailed analysis of the impact of a day-ahead residential demand response
model on the winter season of Jordan's power sector is presented and discussed. The …

Estimación de la demanda eléctrica mediante la red neuronal recurrente tipo LSTM aplicado al estudio de un sector residencial en una micro-red

DW Pawankiza Castellano - 2024 - dspace.ups.edu.ec
Este trabajo se realiza con la finalidad de estimar la demanda eléctrica de un sector
residencial en determinados periodos de tiempo empleando la Red neuronal recurrente …

AI-Enabled Modern Power Systems: Challenges, Solutions

SM Shobeiry - Artificial Intelligence in the Operation and Control of … - books.google.com
The digitalization of power systems has revolutionized the way electricity is generated,
distributed, and consumed. With rapid advancements in technology, the inte-gration of …

Nord pool Day-ahead Electiricty Price Forecasting using machine learning.

M Ghebretsadik - 2024 - brage.inn.no
Electricity stands apart from other commodities due to its unique characteristics, forecasting
requires a deep understanding of precise equilibrium between supply and demand. Since …

Participation Potential Assessment of Household Residents in Demand Side Management–the Case of Jordan

Q Jawabreh, R Sweis, G Sweis - Available at SSRN 4424459 - papers.ssrn.com
This study aimed at evaluating the degree of willingness of Jordanian household residents
to participate in Demand Side Management (DSM) programs. These programs aim to alter …