INDIA’S ELECTRICITY DEMAND FORECAST USING REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS BASED ON PRINCIPAL COMPONENTS
Author:
Publisher
ICT Academy
Subject
General Medicine
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Estimating and forecasting suppressed electricity demand in Ghana under climate change, the informal economy and sector inefficiencies;Heliyon;2024-08
2. AI-based peak power demand forecasting model focusing on economic and climate features;Frontiers in Energy Research;2024-07-29
3. Maximum Demand Forecasting in the Delhi Region using Machine Learning;2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM);2023-11-28
4. Dynamic Pricing Based on Demand Response Using Actor–Critic Agent Reinforcement Learning;Energies;2023-07-19
5. Real-Time Pricing-Enabled Demand Response Using Long Short-Time Memory Deep Learning;Energies;2023-03-02
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