3 citations · 5 across the 5 of their papers we have counts for
5 papers
Are Data Embeddings effective in time series forecasting?
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
Time series forecasting plays a crucial role in many real-world applications, and numerous complex forecasting models have been proposed in recent years. Despite their architectura…
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
Time series forecasting is an important application in various domains such as energy management, traffic planning, financial markets, meteorology, and medicine. However, real-time…
SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand Forecasting
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
Residential electricity demand forecasting is critical for efficient energy management and grid stability. Accurate predictions enable utility companies to optimize planning and op…
Forecasting the Performance of US Stock Market Indices During COVID-19: RF vs LSTM
Reza Nematirad, Amin Ahmadisharaf, Ali Lashgari
The US stock market experienced instability following the recession (2007-2009). COVID-19 poses a significant challenge to US stock traders and investors. Traders and investors sho…
Optimization of Residential Demand Response Program Cost with Consideration for Occupants Thermal Comfort and Privacy
Reza Nematirad, M. M. Ardehali, Amir Khorsandi
Residential consumers can use the demand response program (DRP) if they can utilize the home energy management system (HEMS), which reduces consumer costs by automatically adjustin…