Demand response
View article: GHHP-Final-Energy-Demand-Calculator
GHHP-Final-Energy-Demand-Calculator Open
The GHHP Final Energy Demand Calculator is an R-based tool that extends the German Heating and Housing Panel (GHHP) data by providing building-level estimates of final energy demand and corresponding reference annual heating costs. Using G…
View article: GHHP-Final-Energy-Demand-Calculator
GHHP-Final-Energy-Demand-Calculator Open
The GHHP Final Energy Demand Calculator is an R-based tool that extends the German Heating and Housing Panel (GHHP) data by providing building-level estimates of final energy demand and corresponding reference annual heating costs. Using G…
View article: Demand-Side Energy Management Using an Economical Smart Energy Meter
Demand-Side Energy Management Using an Economical Smart Energy Meter Open
The authors present a cost-effective universal smart energy meter (USEM) that supports both Prepaid and postpaid options that support different tariff structures like time-of-use rates, block rate tariffs, or a combination of the two. The …
View article: Demand-Side Energy Management Using an Economical Smart Energy Meter
Demand-Side Energy Management Using an Economical Smart Energy Meter Open
The authors present a cost-effective universal smart energy meter (USEM) that supports both Prepaid and postpaid options that support different tariff structures like time-of-use rates, block rate tariffs, or a combination of the two. The …
View article: Peer-to-Peer Energy Trading in Dairy Farms using Multi-Agent Reinforcement Learning
Peer-to-Peer Energy Trading in Dairy Farms using Multi-Agent Reinforcement Learning Open
The integration of renewable energy resources in rural areas, such as dairy farming communities, enables decentralized energy management through Peer-to-Peer (P2P) energy trading. This research highlights the role of P2P trading in efficie…
View article: The role of long-term purchasing in renewable energy deployment
The role of long-term purchasing in renewable energy deployment Open
The availability of investment capital for new renewable energy assets is a key challenge for power system evolution. However, the enabling conditions for renewables investments are often overlooked, which could lead to an overestimation o…
View article: AI-Optimized Battery Management Market Overview
AI-Optimized Battery Management Market Overview Open
The AI-Optimized Battery Management Market is expanding due to rising EV adoption, renewable energy integration, and growing demand for high-performance consumer electronics. AI-driven solutions enhance battery efficiency, safety, and life…
View article: Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems
Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems Open
Efficiency and reliability are both crucial for energy management, especially in multi-microgrid systems (MMSs) integrating intermittent and distributed renewable energy sources. This study investigates an economic and reliable energy mana…
View article: AI-Optimized Battery Management Market Overview
AI-Optimized Battery Management Market Overview Open
The AI-Optimized Battery Management Market is expanding due to rising EV adoption, renewable energy integration, and growing demand for high-performance consumer electronics. AI-driven solutions enhance battery efficiency, safety, and life…
View article: High-Resolution Analysis of Solar and Storage Integration in Residential Buildings with Reversible Heat Pumps
High-Resolution Analysis of Solar and Storage Integration in Residential Buildings with Reversible Heat Pumps Open
This study proposes a novel and replicable method to evaluate the cost-effectiveness of residential photovoltaic (PV) systems with battery storage (ESS) based on actual electricity consumption data from Italian households. The method integ…
View article: The Impact of Online Shopping on Retail Building Space and Energy Demand in the U.S.
The Impact of Online Shopping on Retail Building Space and Energy Demand in the U.S. Open
Online shopping is widely believed to reduce demand for retail stores and presumably decrease energy consumption in the retail sector, yet this relationship has not been studied empirically. We address this gap by first developing a regres…
View article: A Blockchain-Based Architecture for Energy Trading to Enhance Power Grid Stability
A Blockchain-Based Architecture for Energy Trading to Enhance Power Grid Stability Open
The integration of renewable energy sources (RES) and distributed energy resources (DER) into local energy markets is transforming modern power grids toward a decentralized architecture. To enhance the efficiency of decentralized energy tr…
View article: A validated forecasting model for optimizing dispatch schedules of PV - battery system in grid-connected apartment buildings
A validated forecasting model for optimizing dispatch schedules of PV - battery system in grid-connected apartment buildings Open
View article: Integrating Electricity Market Granularity and Sector Coupling: Adaptive Power-To-X Scheduling Optimization Under Dynamic Electricity Markets
Integrating Electricity Market Granularity and Sector Coupling: Adaptive Power-To-X Scheduling Optimization Under Dynamic Electricity Markets Open
Sub-hourly operational optimization of Power-to-X (PtX) hydrogen systems remains largely unexplored, despite their growing importance as flexible assets in renewable-dominated energy systems. Existing models typically assume hourly market …
View article: Design and operational challenges of renewable-powered isolated microgrids: a zero-carbon approach
Design and operational challenges of renewable-powered isolated microgrids: a zero-carbon approach Open
This article investigates the characteristics, operation and challenges of zero carbon microgrids, including size, generation from renewable sources, energy balance, and costs. An isolated zero-carbon microgrid is powered exclusively by re…
View article: Customer-Centric Supply Chain Coordination at COSMOS Retail: Driving Responsiveness and Efficiency
Customer-Centric Supply Chain Coordination at COSMOS Retail: Driving Responsiveness and Efficiency Open
In retail, good supply chain coordination is very important because it helps stores respond quickly to changing customer needs while keeping costs low for inventory and operations. This case study looks at how COSMOS Retail tried to make t…
View article: The role of unidirectional charging flexibility in the planning and operation of the future Swiss electricity system
The role of unidirectional charging flexibility in the planning and operation of the future Swiss electricity system Open
View article: Understanding Risk and Revenue in the Nordic 15-minute mFRR market: An EV Aggregation Study
Understanding Risk and Revenue in the Nordic 15-minute mFRR market: An EV Aggregation Study Open
Decarbonisation, decentralisation, and intermittency are driving the development of flexibility markets towards shorter market time units (MTU). Shorter MTUs and shorter gate closures lower the entrance barriers of demand side aggregators …
View article: Games in Product Form for Demand Response Modelling
Games in Product Form for Demand Response Modelling Open
Energy systems are changing rapidly. More and more, energy production is becoming decentralized, highly variable and intermittent (solar, wind), while demand is diversifying (electric vehicles). As a result, balancing supply and demand is …
View article: Smart Grid and Economic Growth: Driving Industrial Upgrading through Efficient Energy Management
Smart Grid and Economic Growth: Driving Industrial Upgrading through Efficient Energy Management Open
INTRODUCTION: In an era marked by rising energy demand and environmental concerns, integrating smart grid technologies is a crucial solution for promoting industrial expansion through efficient electricity control. OBJECTIVES: Here, we exa…
View article: Customer-Centric Supply Chain Coordination at COSMOS Retail: Driving Responsiveness and Efficiency
Customer-Centric Supply Chain Coordination at COSMOS Retail: Driving Responsiveness and Efficiency Open
In retail, good supply chain coordination is very important because it helps stores respond quickly to changing customer needs while keeping costs low for inventory and operations. This case study looks at how COSMOS Retail tried to make t…
View article: Online Smoothed Demand Management
Online Smoothed Demand Management Open
We introduce and study a class of online problems called online smoothed demand management $(\texttt{OSDM})$, motivated by paradigm shifts in grid integration and energy storage for large energy consumers such as data centers. In $\texttt{…
View article: Online Smoothed Demand Management
Online Smoothed Demand Management Open
We introduce and study a class of online problems called online smoothed demand management $(\texttt{OSDM})$, motivated by paradigm shifts in grid integration and energy storage for large energy consumers such as data centers. In $\texttt{…
View article: Multi-Time-Scale Stochastic Optimization for Energy Management of Industrial Parks to Enhance Flexibility
Multi-Time-Scale Stochastic Optimization for Energy Management of Industrial Parks to Enhance Flexibility Open
The large-scale integration of renewable energy has reduced power system flexibility and exacerbated supply–demand imbalances. In industrial parks, the combined variability of high energy-consuming industrial loads and photovoltaic (PV) ge…
View article: Enhanced cheetah optimizer for demand side management in smart grids with demand response and renewable energy
Enhanced cheetah optimizer for demand side management in smart grids with demand response and renewable energy Open
For the effective operation of smart grids, it is critical to ensure that demand side management (DSM) includes strong two-way communication and addresses significant security and privacy issues. DSM success depends on the participat…
View article: Intelligent Self-Evolving Neural Control Using Multi-Objective Swarm Optimization and Reinforcement Learning for Dynamic Energy Management in PV-Driven Smart Cities
Intelligent Self-Evolving Neural Control Using Multi-Objective Swarm Optimization and Reinforcement Learning for Dynamic Energy Management in PV-Driven Smart Cities Open
In this paper, an adaptive self-evolving neural control strategy based on the integration of Reinforcement Learning (RL) and Multi-Objective Particle Swarm Optimization (MOPSO) is proposed for dynamic energy management in Photovoltaic PV-b…
View article: Co-Optimization Strategy for VPPs Integrating Generalized Energy Storage Based on Asymmetric Nash Bargaining
Co-Optimization Strategy for VPPs Integrating Generalized Energy Storage Based on Asymmetric Nash Bargaining Open
With the in-depth construction of the new power system, the importance of demand-side resources is becoming more and more prominent. The virtual power plant (VPP) has become a powerful means to explore the potential value of distributed re…
View article: Intelligent Self-Evolving Neural Control Using Multi-Objective Swarm Optimization and Reinforcement Learning for Dynamic Energy Management in PV-Driven Smart Cities
Intelligent Self-Evolving Neural Control Using Multi-Objective Swarm Optimization and Reinforcement Learning for Dynamic Energy Management in PV-Driven Smart Cities Open
In this paper, an adaptive self-evolving neural control strategy based on the integration of Reinforcement Learning (RL) and Multi-Objective Particle Swarm Optimization (MOPSO) is proposed for dynamic energy management in Photovoltaic PV-b…
View article: Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations
Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations Open
Telecommunication Base Transceiver Stations (BTSs) require a resilient and sustainable power supply to ensure uninterrupted operation, particularly during grid outages. Thus, this paper proposes an Adaptive Model Predictive Control (AMPC)-…
View article: Optimal Design of Integrated Energy Systems Based on Reliability Assessment
Optimal Design of Integrated Energy Systems Based on Reliability Assessment Open
This paper presents an optimal-design methodology for small-scale Integrated Energy Systems (IESs) that couple electricity and heat in distributed networks. A hybrid reliability assessment integrates probabilistic state enumeration with sc…