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P. Burade

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Open access Aug 2026

Optimised Scheduling Strategies For Hybrid Renewable Energy Systems With Demand Response Integration

Renewable power has grown rapidly to redesign the world energy arena, but its variable nature comes with a need for stability in the grid. This examines a real-time power and demand balance scheduling framework utilising heuristic optimisation techniques, including the Self-Adaptive Differential Evolution Algorithm (SA...

V. Patil, P. Burade · 0 citations
Open access Aug 2026

Multi-Objective Intelligent Demand-Side Management Using Explainable PSO-Optimized LSTM in Renewable Energy-Based Smart Grids

The proposed explainable hybrid framework provides a scalable, computationally efficient, and real-time intelligent energy management solution for next-generation sustainable smart grids and smart city applications.

Rajendra B. Sadaphale, P. Burade · 0 citations
Open access Aug 2026

Integrated Techno-Economic Optimization and Intelligent Decision-Making Framework for Solar PV-Based Agricultural Microgrids.

The increasing electricity demand associated with agricultural irrigation has created a need for energy-efficient and economically viable renewable energy systems. This paper presents a techno-economic optimization framework for a solar-powered agricultural microgrid intended to supply irrigation pump loads. The propos...

P. Phad, J. Helonde, P. Burade · 0 citations
Open access Aug 2026

A Hybrid PSO–LSTM Framework For Intelligent Demand-Side Management In Smart Grids With Renewable Energy Integration

A hybrid PSO–RNN framework for intelligent freedom of management for power systems that can effectively serve as a scalable, adaptive and computationally efficient next-generation intelligent smart grid and real-time electricity demand side management solution.

R. B. Sadaphale, P. Burade · 0 citations

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