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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
to participate in Demand Side Management (DSM) programs. These programs aim to alter …